diff --git a/core/src/main/resources/GenderDictionary_USandUK.csv b/core/src/main/resources/GenderDictionary_USandUK.csv
new file mode 100644
index 0000000000..ef532e1d9d
--- /dev/null
+++ b/core/src/main/resources/GenderDictionary_USandUK.csv
@@ -0,0 +1,105601 @@
+Name,years.appearing,count.male,count.female,prob.gender,obs.male,est.male,upper,lower
+A,7,49,0,Male,1.0,1.0,1.01411330356196,0.9131888772175399
+A'isha,11,0,57,Female,0.0,0.0,1.0123661068702499,0.924495058276775
+A'ishah,14,0,72,Female,0.0,0.0,1.0100337649979398,0.9393150624056059
+A-jay,11,59,0,Male,1.0,1.0,1.01199460177782,0.926876027695395
+A.j.,2,6,0,Male,1.0,1.0,1.05244648969589,0.557219222401941
+Aa'isha,2,0,6,Female,0.0,0.0,1.05244648969589,0.557219222401941
+Aa'ishah,5,0,18,Female,0.0,0.0,1.0308316414599599,0.7932891348933859
+Aaban,11,98,0,Male,1.0,1.0,1.014330616590215,0.9116730196175504
+Aabas,1,1,0,Male,1.0,1.0,1.03904982889782,0.16749948547941299
+Aabha,2,0,12,Female,0.0,0.0,1.0394913152329202,0.7180146781118358
+Aabia,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aabid,6,24,0,Male,1.0,1.0,1.042146838949705,0.656522316632403
+Aabidammar,1,1,0,Male,1.0,1.0,1.03904982889782,0.16749948547941299
+Aabriella,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aadam,38,1250,0,Male,1.0,1.0,1.0027279710314798,0.983862493389815
+Aadan,7,91,0,Male,1.0,1.0,1.0080971551626299,0.9513988409084929
+Aadarsh,14,136,0,Male,1.0,1.0,1.026822106684505,0.7964056327368034
+Aaden,16,3492,6,Male,0.972965613228242,0.972965613228242,1.0042858862930202,0.8658573679770261
+Aadesh,3,15,0,Male,1.0,1.0,1.03467981392105,0.761436885043099
+Aadham,2,6,0,Male,1.0,1.0,1.05244648969589,0.557219222401941
+Aadhav,7,60,0,Male,1.0,1.0,1.0316455742854451,0.7573982138929389
+Aadhavan,2,11,0,Male,1.0,1.0,1.04135282225748,0.699814210774485
+Aadhira,1,0,6,Female,0.0,0.0,1.05244648969589,0.557219222401941
+Aadhithya,1,3,0,Male,1.0,1.0,1.05597453703631,0.38252843120864205
+Aadhya,8,0,238,Female,0.0,0.0,1.016108795046035,0.894670508456826
+Aadhyan,1,5,0,Male,1.0,1.0,1.05457239484969,0.51094514036714
+Aadi,18,651,10,Male,0.9909584086799275,0.9909584086799275,0.99875906832016,0.962659489827786
+Aadil,38,761,0,Male,1.0,1.0,1.0022232532324649,0.9869335546341486
+Aadila,1,0,3,Female,0.0,0.0,1.05597453703631,0.38252843120864205
+Aadin,8,106,0,Male,1.0,1.0,1.00702592741224,0.958001314014284
+Aadish,2,17,0,Male,1.0,1.0,1.03202273223858,0.783659132752567
+Aadison,2,0,11,Female,0.0,0.0,1.04135282225748,0.699814210774485
+Aadit,16,241,0,Male,1.0,1.0,1.010646076235055,0.9341629914712404
+Aadith,4,23,0,Male,1.0,1.0,1.02595241573026,0.830930965819318
+Aaditri,3,0,13,Female,0.0,0.0,1.049664521461985,0.530820562729048
+Aaditya,26,460,0,Male,1.0,1.0,1.006147996099695,0.962963562539248
+Aadityaram,1,1,0,Male,1.0,1.0,1.03904982889782,0.16749948547941299
+Aadiv,1,6,0,Male,1.0,1.0,1.05244648969589,0.557219222401941
+Aadon,8,82,0,Male,1.0,1.0,1.00891213860415,0.9463372377057541
+Aadrian,1,5,0,Male,1.0,1.0,1.05457239484969,0.51094514036714
+Aadrit,1,5,0,Male,1.0,1.0,1.05457239484969,0.51094514036714
+Aadvik,2,7,0,Male,1.0,1.0,1.045748159296855,0.362359353940677
+Aadvika,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aadya,16,7,330,Female,0.0729166666666665,0.0729166666666665,0.9666777287895596,0.8546862024576185
+Aadyn,11,328,16,Male,0.97667638483965,0.97667638483965,1.005338565152215,0.5462677318833801
+Aaeedah,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aaeesha,3,0,16,Female,0.0,0.0,1.03330254928781,0.7730897701777579
+Aaella,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aafia,6,0,40,Female,0.0,0.0,1.0167746168029599,0.895603781999753
+Aafiya,2,0,7,Female,0.0,0.0,1.05010879551787,0.59556076941544
+Aafiyah,5,0,26,Female,0.0,0.0,1.02368252405846,0.847588554082327
+Aafreen,10,0,55,Female,0.0,0.0,1.034220458147145,0.7128645098945915
+Aafrin,3,0,9,Female,0.0,0.0,1.04549522023528,0.6553597313451751
+Aagam,1,8,0,Male,1.0,1.0,1.04776037949305,0.6278320556230711
+Aagat,1,1,0,Male,1.0,1.0,1.03904982889782,0.16749948547941299
+Aage,1,7,0,Male,1.0,1.0,1.05010879551787,0.59556076941544
+Aagman,1,1,0,Male,1.0,1.0,1.03904982889782,0.16749948547941299
+Aagot,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aahaan,1,6,0,Male,1.0,1.0,1.05244648969589,0.557219222401941
+Aahad,3,11,0,Male,1.0,1.0,1.04135282225748,0.699814210774485
+Aahan,12,132,0,Male,1.0,1.0,1.01987944237235,0.8672894641106145
+Aahana,14,0,315,Female,0.0,0.0,1.00931665192595,0.9427152821182772
+Aahil,22,446,0,Male,1.0,1.0,1.00346174575732,0.9795770015518175
+Aahliyah,4,0,24,Female,0.0,0.0,1.02515029757606,0.836873497748962
+Aahna,8,0,56,Female,0.0,0.0,1.029128267031485,0.7935685514942815
+Aahron,2,6,0,Male,1.0,1.0,1.046811111873755,0.3392223129232765
+Aaidah,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aaidan,5,38,0,Male,1.0,1.0,1.01750688194436,0.8906832498300609
+Aaiden,9,397,0,Male,1.0,1.0,1.0019685498623199,0.988447963359652
+Aaidyn,2,18,0,Male,1.0,1.0,1.0308316414599599,0.7932891348933859
+Aaila,6,0,43,Female,0.0,0.0,1.035171874552005,0.7226320685783081
+Aailiyah,2,0,10,Female,0.0,0.0,1.04335450588766,0.679112694249454
+Aailyah,18,0,160,Female,0.0,0.0,1.030409917010475,0.676899811395348
+Aaima,6,0,40,Female,0.0,0.0,1.0167746168029599,0.895603781999753
+Aaina,1,0,6,Female,0.0,0.0,1.05244648969589,0.557219222401941
+Aaira,8,0,64,Female,0.0,0.0,1.02025108691345,0.8718135176744746
+Aairah,6,0,33,Female,0.0,0.0,1.0329425827728151,0.7753124038320589
+Aaisha,38,0,703,Female,0.0,0.0,1.0031152747392,0.9815836418186459
+Aaishah,20,0,212,Female,0.0,0.0,1.01739309690777,0.8849588640171234
+Aaiyana,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aaiza,8,0,41,Female,0.0,0.0,1.03643881682152,0.698110636489664
+Aaizah,2,0,8,Female,0.0,0.0,1.04776037949305,0.627832055623072
+Aaja,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aajah,5,0,29,Female,0.0,0.0,1.02177015430911,0.8612600471911469
+Aajaylah,3,0,20,Female,0.0,0.0,1.02868440248967,0.810190439457511
+Aajon,1,8,0,Male,1.0,1.0,1.04776037949305,0.6278320556230711
+Aakanksha,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aakarsh,8,42,0,Male,1.0,1.0,1.036553771145655,0.637864286123038
+Aakash,46,911,0,Male,1.0,1.0,1.004336651712435,0.9740798873316661
+Aakeem,3,16,0,Male,1.0,1.0,1.03330254928781,0.7730897701777579
+Aakifa,3,0,10,Female,0.0,0.0,1.04335450588766,0.679112694249454
+Aakifah,16,0,131,Female,0.0,0.0,1.0057562167259901,0.9657550762080159
+Aakilah,2,0,18,Female,0.0,0.0,1.0308316414599599,0.7932891348933859
+Aakira,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aakiyah,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aakriti,3,0,15,Female,0.0,0.0,1.0376068556968652,0.4580124001229325
+Aakruti,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aala,13,0,73,Female,0.0,0.0,1.019380884792335,0.8769729249050819
+Aalaa,3,0,12,Female,0.0,0.0,1.0394913152329202,0.7180146781118358
+Aalaiya,1,0,7,Female,0.0,0.0,1.05010879551787,0.59556076941544
+Aalaiyah,4,0,21,Female,0.0,0.0,1.02771445470298,0.8176465263721729
+Aalana,5,0,31,Female,0.0,0.0,1.02065523580291,0.8690893687366571
+Aalanah,2,0,10,Female,0.0,0.0,1.04335450588766,0.679112694249454
+Aalani,3,0,20,Female,0.0,0.0,1.02868440248967,0.810190439457511
+Aalap,1,6,0,Male,1.0,1.0,1.05244648969589,0.557219222401941
+Aalaya,12,0,93,Female,0.0,0.0,1.03207741098623,0.666706260354085
+Aalayah,23,0,510,Female,0.0,0.0,1.0108893896199,0.931534784299307
+Aalayiah,1,0,7,Female,0.0,0.0,1.05010879551787,0.59556076941544
+Aalayjah,1,0,6,Female,0.0,0.0,1.05244648969589,0.557219222401941
+Aalayna,3,0,15,Female,0.0,0.0,1.03467981392105,0.761436885043099
+Aalaysha,3,0,17,Female,0.0,0.0,1.03202273223858,0.783659132752567
+Aalaysia,11,0,87,Female,0.0,0.0,1.00844022260196,0.9492722704539159
+Aaleah,16,0,186,Female,0.0,0.0,1.0294000153040699,0.7429675261010795
+Aaleahya,1,0,8,Female,0.0,0.0,1.04776037949305,0.627832055623072
+Aaleen,1,0,3,Female,0.0,0.0,1.05597453703631,0.38252843120864205
+Aaleeya,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aaleeyah,9,0,70,Female,0.0,0.0,1.01029274843181,0.937684189157928
+Aaleia,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aaleigha,15,0,125,Female,0.0,0.0,1.027082394750365,0.794819199976331
+Aaleiyah,3,0,18,Female,0.0,0.0,1.0308316414599599,0.7932891348933859
+Aalexis,3,0,20,Female,0.0,0.0,1.02868440248967,0.810190439457511
+Aalexus,1,0,6,Female,0.0,0.0,1.05244648969589,0.557219222401941
+Aaleya,2,0,10,Female,0.0,0.0,1.04335450588766,0.679112694249454
+Aaleyah,28,0,624,Female,0.0,0.0,1.00518046353305,0.9689253834285325
+Aalia,34,0,469,Female,0.0,0.0,1.00332342321305,0.9804008919842351
+Aaliah,34,0,863,Female,0.0,0.0,1.00298045945381,0.982371927928002
+Aalias,1,5,0,Male,1.0,1.0,1.05457239484969,0.51094514036714
+Aaliayah,15,0,118,Female,0.0,0.0,1.00635331234098,0.962118348636529
+Aaliayh,7,0,47,Female,0.0,0.0,1.0146295665074399,0.909812829328562
+Aalicia,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aaliegha,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aaliha,2,0,12,Female,0.0,0.0,1.0394913152329202,0.7180146781118358
+Aalijah,15,123,84,Male,0.594202898550725,0.594202898550725,0.658812019495755,0.526161088820512
+Aalim,5,24,0,Male,1.0,1.0,1.0423719165863048,0.632120086159986
+Aalimah,4,0,14,Female,0.0,0.0,1.03616388249591,0.748525314766452
+Aalina,3,0,20,Female,0.0,0.0,1.02868440248967,0.810190439457511
+Aalish,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aalisha,8,0,35,Female,0.0,0.0,1.03228502967199,0.7793398468466035
+Aalivia,5,0,30,Female,0.0,0.0,1.0211983029656602,0.8652883038603741
+Aaliya,37,0,1265,Female,0.0,0.0,1.00139810315874,0.99180741437165
+Aaliyah,54,67,65756,Female,0.000560359968552935,0.000560359968552935,0.9996253949860904,0.99890403135932
+Aaliyah-louise,1,0,3,Female,0.0,0.0,1.05597453703631,0.38252843120864205
+Aaliyah-mae,1,0,3,Female,0.0,0.0,1.05597453703631,0.38252843120864205
+Aaliyah-marie,1,0,3,Female,0.0,0.0,1.05597453703631,0.38252843120864205
+Aaliyah-may,1,0,3,Female,0.0,0.0,1.05597453703631,0.38252843120864205
+Aaliyah-rose,2,0,10,Female,0.0,0.0,1.04335450588766,0.679112694249454
+Aaliyah-skye,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aaliyaha,4,0,21,Female,0.0,0.0,1.02771445470298,0.8176465263721729
+Aaliyahmarie,3,0,16,Female,0.0,0.0,1.03330254928781,0.7730897701777579
+Aaliyahrose,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aaliyan,14,7,89,Female,0.5,0.5,1.029186965970935,0.7729595438775925
+Aaliyana,9,0,75,Female,0.0,0.0,1.00966878043215,0.9416073770850409
+Aaliyha,25,0,419,Female,0.0,0.0,1.0116033015387202,0.9267506772696246
+Aaliyiah,5,0,31,Female,0.0,0.0,1.02065523580291,0.8690893687366571
+Aallaya,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aalliyah,17,0,159,Female,0.0,0.0,1.030424754260955,0.6768102641428111
+Aallyah,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aalok,2,10,0,Male,1.0,1.0,1.04335450588766,0.679112694249454
+Aalon,1,5,0,Male,1.0,1.0,1.05457239484969,0.51094514036714
+Aalya,4,0,19,Female,0.0,0.0,1.0446385431620602,0.5778091006932
+Aalyah,20,0,556,Female,0.0,0.0,1.028697437785055,0.687104717305034
+Aalycia,4,0,25,Female,0.0,0.0,1.0243949420667,0.8424128069942559
+Aalyha,3,0,19,Female,0.0,0.0,1.02972128304972,0.8020994928976659
+Aalyia,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aalyiah,20,0,597,Female,0.0,0.0,1.02864900348644,0.6873897067776695
+Aalysia,2,0,7,Female,0.0,0.0,1.045748159296855,0.362359353940677
+Aalyssa,13,0,104,Female,0.0,0.0,1.00715210770905,0.957226537918496
+Aalyvia,1,0,5,Female,0.0,0.0,1.05457239484969,0.51094514036714
+Aamaira,1,0,1,Female,0.0,0.0,1.03904982889782,0.16749948547941299
+Aaman,5,16,0,Male,1.0,1.0,1.03330254928781,0.7730897701777579
+Aamanah,1,0,3,Female,0.0,0.0,1.05597453703631,0.38252843120864205
+Aamanda,2,0,10,Female,0.0,0.0,1.04335450588766,0.679112694249454
+Aamanee,2,0,12,Female,0.0,0.0,1.0394913152329202,0.7180146781118358
+Aamani,18,0,138,Female,0.0,0.0,1.0140512100901002,0.9120184134496381
+Aamar,3,11,0,Male,1.0,1.0,1.05350944227279,0.5340821813845404
+Aamari,11,68,56,Male,0.548387096774194,0.548387096774194,0.6332231377982309,0.4606431252333161
+Aamarion,2,10,0,Male,1.0,1.0,1.04335450588766,0.679112694249454
+Aamaya,2,0,8,Female,0.0,0.0,1.0552734659429999,0.446736785787891
+Aamber,2,0,14,Female,0.0,0.0,1.03616388249591,0.748525314766452
+Aamena,18,0,113,Female,0.0,0.0,1.0252857082953502,0.8179705126588854
+Aamenah,9,0,43,Female,0.0,0.0,1.01578341117229,0.902206785601917
+Aamer,9,39,0,Male,1.0,1.0,1.030279412281305,0.795469060880354
+Aamia,2,0,11,Female,0.0,0.0,1.04135282225748,0.699814210774485
+Aamil,6,26,0,Male,1.0,1.0,1.038016318089265,0.730625547908792
+Aamilah,11,0,92,Female,0.0,0.0,1.0234929737510299,0.8392737342449135
+Aamina,36,0,1022,Female,0.0,0.0,1.002399804547125,0.9858517475874959
+Aaminah,38,0,1341,Female,0.0,0.0,1.0021185848283651,0.9875187727250889
+Aamir,53,1655,0,Male,1.0,1.0,1.001155890363905,0.9932313058075105
+Aamira,20,0,225,Female,0.0,0.0,1.0074999902210848,0.9549281116649895
+Aamirah,28,0,254,Female,0.0,0.0,1.005967628099065,0.9644637364183265
+Aamiya,4,0,31,Female,0.0,0.0,1.02065523580291,0.8690893687366571
+Aamiyah,12,0,255,Female,0.0,0.0,1.0030346575696,0.982124370515789
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diff --git a/core/src/main/resources/Names_JRC_Combined.txt b/core/src/main/resources/Names_JRC_Combined.txt
new file mode 100644
index 0000000000..960aeca66d
--- /dev/null
+++ b/core/src/main/resources/Names_JRC_Combined.txt
@@ -0,0 +1,568127 @@
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+카빌라
+카소를라
+카스트로
+카스페르
+카시야노프
+카시야스
+카우언
+카위트
+카이드
+카이사
+카이사르
+카일라시
+카진스키
+카추라니스
+카타니
+카터
+카트린
+카포네
+카프카
+칸
+칸트
+칼
+칼라스
+칼레다
+칼레마
+칼렌베르
+칼로
+칼뱅
+캅데빌라
+캉토나
+캐롤
+캐머런
+캐서린
+캐스터
+커스티
+커츠먼
+커트
+컬린
+케냐타
+케네디
+케네스
+케니
+케니스
+케른
+케리
+케말
+케빈
+케사르
+케이지
+케이타
+케이트
+케이티
+케이힐
+케주만
+케플러
+켄
+켈리
+코글린
+코난
+코널리
+코니
+코라손
+코라이
+코레아
+코레타
+코모로프스키
+코벤트리
+코스타
+코스타스
+코스텔리치
+코이랄라
+코조
+코조비
+코코
+코플란
+코피
+코헨
+콘돌리자
+콘라트
+콜
+콜럼버스
+콜먼
+콜하스
+콩데
+콰메
+쿠니스
+쿠르만베크
+쿠르트
+쿠마리타시빌리
+쿠베르탱
+쿠쉬착
+쿠슈네르
+쿠치마
+쿡
+쿤데라
+쿨로프
+퀜틴
+퀴리
+퀸시
+큉
+큐브릭
+크라머
+크라우추크
+크라위프
+크라카우어
+크레스포
+크레이그
+크레이머
+크렌츠
+크로스
+크롬웰
+크루그먼
+크루소
+크루스
+크루즈
+크르키치
+크리스
+크리스털
+크리스토퍼
+크리스토페르
+크리스토프
+크리스티
+크리스티안
+크리시
+클라스얀
+클라시
+클라우디오
+클라우스
+클라위베르트
+클라크
+클락슨
+클래시
+클레그
+클로드
+클로제
+클루니
+클루제
+클리블랜드
+클리스터스
+클리시
+클린턴
+클림트
+키드먼
+키르산
+키비니에미
+키슬링
+키신저
+키아누
+키아로스타미
+키퍼
+키플링
+키호테
+킨
+킴
+킹
+타르치시오
+타를레프
+타보
+타소스
+타스치
+타시르
+타이겐
+타이프
+타일러
+탁신
+탄
+탄타위
+탈라바니
+탈리브
+터갓
+털링턴
+테레사
+테레시코바
+테베스
+테오
+테오도르
+텐징
+토니
+토레스
+토르발스
+토르스텐
+토마
+토마손
+토마스
+토마시
+토머스
+토티
+토폴라넥
+톨레도
+톨킨
+톰
+통
+투란
+투레
+투포우
+튜링
+트라이안
+트레버
+트로이츠키
+트루먼
+트루시에
+트뤼도
+트뤼포
+트리틴
+트웨인
+티머시
+티모프티
+티에리
+티토
+틸다
+팀
+파나히
+파누치
+파리드
+파묵
+파벨
+파브레가스
+파블로
+파블로풀로스
+파블류첸코
+파비앵
+파스칼
+파스토레
+파스퇴르
+파슨스
+파올로
+파울리노
+파이어
+파이줄린
+파졸리니
+파치노
+파커
+파코
+파퀴아오
+파크스
+파투
+파트리스
+파트리크
+파트릭
+파파도풀로스
+파힘
+판
+판첸
+팔라치
+팔레비
+팔메
+팔미에리
+패리스
+패브리스
+패트릭
+패티
+팰런스
+팰코
+퍼거슨
+페굴리
+페데르센
+페데리코
+페레스
+페렌츠
+페로티
+페론
+페르
+페르난데스
+페르난도
+페르마엘런
+페르미
+페르베즈
+페르손
+페르시
+페리
+페리뇽
+페어
+페일린
+페케르만
+페터르
+페트로
+페파피그
+펠레티
+펠리피
+펠릭스
+펠프스
+펫훌라흐
+포
+포그레브냑
+포드
+포로셴코
+포를란
+포스터
+포츠
+포터
+포터필드
+포페스쿠터리체아누
+폭스
+폰
+폰타나
+폰투스
+폴
+폴나레프
+폴로
+폴리처
+폴웰
+퐁텐
+표도르
+표트르
+푸실레
+푸에르타
+푸욜
+푸틴
+프라사드
+프라치
+프라티니
+프란체스코
+프란츠
+프랏코프
+프랑수아
+프랑수아즈
+프랑스
+프랑코
+프랑크
+프랜시스
+프랭크
+프랭클린
+프레드락
+프레드리크
+프레디
+프레빈
+프레슬리
+프레이저
+프로디
+프로벤자노
+프로코피스
+프로코피예프
+프로호로프
+프롬
+프루
+프루스트
+프루시안테
+프리다
+프리델
+프리드리히
+프리드먼
+프링스
+플라시도
+플라티니
+플레밍
+플로랑
+플로렌치
+플루셴코
+플린트
+피구
+피노체트
+피델
+피렌체의
+피셔
+피에로
+피에르
+피우수트스키
+피츠제럴드
+피카소
+피케
+피케티
+피터
+피터르
+필
+필리페
+필리프
+필립
+필립스
+하라
+하리리
+하메네이
+하미드
+하벨
+하브자리마나
+하비브
+하비비
+하비에르
+하사날
+하시모토
+하야오
+하우스
+하우크
+하이얌
+하인리히
+하일레
+하카마다
+하쿠오
+하킴
+하타미
+하토야마
+하트
+하퍼
+한나
+한명숙
+한스
+한승수
+한창푸
+할림
+해거드
+해니건
+해리
+해리스
+해리슨
+허궈창
+허친스
+허커비
+헤라르도
+헤라르드
+헤르만
+헤르미온느
+헤르베르트
+헤르타
+헤밍웨이
+헤세
+헤수스
+헤스턴
+헤이다르
+헤이스팅스
+헤이즈
+헨드리
+헨리
+헨릭
+헬렌
+헬무트
+헵번
+호나우두
+호나우지뉴
+호네커
+호도르콥스키
+호르데
+호르헤
+호세
+호세프
+호셉
+호스니
+호아킨
+호안
+호이비에르
+호킹
+호헨반트
+혼
+홈즈
+홍상수
+황우석
+황쥐
+후
+후르비치
+후세인
+후안
+후이
+후지모리
+후진타오
+후쿠다
+후쿠시마
+후쿠야마
+훅
+훔볼트
+휜텔라르
+휠릿
+휴
+흐루쇼프
+흐리스텐코
+흘레프
+히데토시
+히딩크
+히라노
+히로후미
+히치콕
+히틀러
+힐
+힐데가르트
+힐러리
+힐마르
+힐튼
+ﺃبو
+ﺟىيەنﺠﯘ
+ﻣﯧﯔ
diff --git a/core/src/main/scala/com/salesforce/op/dsl/RichTextFeature.scala b/core/src/main/scala/com/salesforce/op/dsl/RichTextFeature.scala
index bd78b58aa1..e71d223b01 100644
--- a/core/src/main/scala/com/salesforce/op/dsl/RichTextFeature.scala
+++ b/core/src/main/scala/com/salesforce/op/dsl/RichTextFeature.scala
@@ -434,6 +434,15 @@ trait RichTextFeature {
       toLowercase: Boolean = TextTokenizer.ToLowercase
     ): FeatureLike[Binary] =
       f.transformWith(new SubstringTransformer[T, T2]().setToLowercase(toLowercase), f2)
+
+    /**
+     * Check if feature is actual human names, and if so, return related gender information (English language only)
+     *
+     * @param threshold optional, fraction of rows containing names before processing (default = 0.50)
+     * @return NameStats, a custom map that will be empty if no name was found
+     */
+    def identifyIfHumanName(threshold: Double = 0.50): FeatureLike[NameStats] =
+      new HumanNameDetector[T]().setThreshold(threshold).setInput(f).getOutput()
   }
 
   implicit class RichPhoneFeature(val f: FeatureLike[Phone]) {
diff --git a/core/src/main/scala/com/salesforce/op/stages/impl/feature/HumanNameDetector.scala b/core/src/main/scala/com/salesforce/op/stages/impl/feature/HumanNameDetector.scala
new file mode 100644
index 0000000000..d0512ec888
--- /dev/null
+++ b/core/src/main/scala/com/salesforce/op/stages/impl/feature/HumanNameDetector.scala
@@ -0,0 +1,165 @@
+/*
+ * Copyright (c) 2017, Salesforce.com, Inc.
+ * All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ *
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ *
+ * * Neither the name of the copyright holder nor the names of its
+ *   contributors may be used to endorse or promote products derived from
+ *   this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+package com.salesforce.op.stages.impl.feature
+
+import com.salesforce.op._
+import com.salesforce.op.features.types.NameStats.GenderValue
+import com.salesforce.op.features.types._
+import com.salesforce.op.stages.base.unary.{UnaryEstimator, UnaryModel}
+import com.salesforce.op.stages.impl.MetadataLike
+import com.salesforce.op.utils.spark.RichDataset._
+import com.salesforce.op.utils.stages._
+import com.twitter.algebird.Operators._
+import org.apache.spark.sql._
+import org.apache.spark.sql.types.{Metadata, MetadataBuilder}
+
+import scala.reflect.runtime.universe.TypeTag
+
+/**
+ * Unary estimator for identifying whether a single Text column is a name or not. If the column does appear to be a
+ * name, a custom map will be returned that contains the guessed gender for each entry (gender detection only supported
+ * for English at the moment). If the column does not appear to be a name, then the output will be an empty map.
+ * @param uid           uid for instance
+ * @param operationName unique name of the operation this stage performs
+ * @param tti           type tag for input
+ * @param ttiv          type tag for input value
+ * @tparam T            the FeatureType (subtype of Text) to operate over
+ */
+class HumanNameDetector[T <: Text]
+(
+  uid: String = UID[HumanNameDetector[T]],
+  operationName: String = "humanNameDetect"
+)
+(
+  implicit tti: TypeTag[T],
+  override val ttiv: TypeTag[T#Value]
+) extends UnaryEstimator[T, NameStats](
+  uid = uid,
+  operationName = operationName
+) with NameDetectFun[T] {
+
+  def fitFn(dataset: Dataset[T#Value]): HumanNameDetectorModel[T] = {
+    implicit val (nameDetectStatsEnc, nameDetectStatsMonoid) = (NameDetectStats.kryo, NameDetectStats.monoid)
+    val mapFun: T#Value => NameDetectStats = makeMapFunction(dataset.sparkSession)
+    val aggResults: NameDetectStats = dataset.map(mapFun).reduce(_ + _)
+    val treatAsName = computeTreatAsName(aggResults)
+
+    val newMetadata = HumanNameDetectorMetadata(
+      treatAsName, aggResults.dictCheckResult.value, aggResults.genderResultsByStrategy
+    ).toMetadata()
+    val metaDataBuilder = new MetadataBuilder().withMetadata(getMetadata()).withMetadata(newMetadata)
+    setMetadata(metaDataBuilder.build())
+
+    val orderedGenderDetectStrategies =
+      if (treatAsName) orderGenderStrategies(aggResults) else Seq.empty[GenderDetectStrategy]
+    new HumanNameDetectorModel[T](uid, operationName, treatAsName, orderedGenderDetectStrategies)
+  }
+}
+
+class HumanNameDetectorModel[T <: Text]
+(
+  override val uid: String,
+  operationName: String,
+  val treatAsName: Boolean,
+  val orderedGenderDetectStrategies: Seq[GenderDetectStrategy] = Seq.empty[GenderDetectStrategy]
+)(implicit tti: TypeTag[T])
+  extends UnaryModel[T, NameStats](operationName, uid) with NameDetectFun[T] {
+
+  import NameStats.GenderValue.GenderNA
+  import NameStats.Key._
+  def transformFn: T => NameStats = (input: T) => {
+    val tokens = preProcess(input)
+    if (treatAsName) {
+      require(orderedGenderDetectStrategies.nonEmpty, "There must be a gender extraction strategy if treating as name.")
+      // Could figure out how to use a broadcast variable for the gender dictionary within a unary transformer
+      val genders: Seq[GenderValue] = orderedGenderDetectStrategies map {
+        identifyGender(input.value, tokens, _, NameDetectUtils.DefaultGenderDictionary)
+      }
+      val gender = genders.find(_ != GenderNA).getOrElse(GenderNA)
+      val map: Map[String, String] = Map(
+        IsName.toString -> true.toString,
+        OriginalValue.toString -> input.value.getOrElse(""),
+        Gender.toString -> gender.toString
+      )
+      NameStats(map)
+    }
+    else NameStats(Map.empty[String, String])
+  }
+}
+
+case class HumanNameDetectorMetadata
+(
+  treatAsName: Boolean,
+  predictedNameProb: Double,
+  genderResultsByStrategy: Map[String, GenderStats]
+) extends MetadataLike {
+  import HumanNameDetectorMetadata._
+
+  override def toMetadata(): Metadata = {
+    val metaDataBuilder = new MetadataBuilder()
+    metaDataBuilder.putBoolean(TreatAsNameKey, treatAsName)
+    metaDataBuilder.putDouble(PredictedNameProbKey, predictedNameProb)
+    val genderResultsMetaDataBuilder = new MetadataBuilder()
+    genderResultsByStrategy foreach { case (strategyString, stats) =>
+      genderResultsMetaDataBuilder.putDoubleArray(strategyString, Array(stats.numMale, stats.numFemale, stats.numOther))
+    }
+    metaDataBuilder.putMetadata(GenderResultsByStrategyKey, genderResultsMetaDataBuilder.build())
+    metaDataBuilder.build()
+  }
+
+  override def toMetadata(skipUnsupported: Boolean): Metadata = toMetadata()
+}
+
+case object HumanNameDetectorMetadata {
+  val TreatAsNameKey = "treatAsName"
+  val PredictedNameProbKey = "predictedNameProb"
+  val GenderResultsByStrategyKey = "genderResultsByStrategy"
+
+  def fromMetadata(metadata: Metadata): HumanNameDetectorMetadata = {
+    val genderResultsMetadata = metadata.getMetadata(GenderResultsByStrategyKey)
+    val genderResultsByStrategy: Map[String, GenderStats] = {
+      NameDetectUtils.GenderDetectStrategies map { strategy: GenderDetectStrategy =>
+        val strategyString = strategy.toString
+        val resultsArray = genderResultsMetadata.getDoubleArray(strategyString)
+        require(resultsArray.length == 3,
+          "There must be exactly three values for each gender detection strategy: numMale, numFemale, and numOther.")
+        strategyString -> GenderStats(
+          numMale = resultsArray(0).toInt, numFemale = resultsArray(1).toInt, numOther = resultsArray(2).toInt
+        )
+      } toMap
+    }
+    HumanNameDetectorMetadata(
+      metadata.getBoolean(TreatAsNameKey),
+      metadata.getDouble(PredictedNameProbKey),
+      genderResultsByStrategy
+    )
+  }
+}
diff --git a/core/src/main/scala/com/salesforce/op/stages/impl/feature/Transmogrifier.scala b/core/src/main/scala/com/salesforce/op/stages/impl/feature/Transmogrifier.scala
index bf0a6910fc..8ce42cb8ac 100644
--- a/core/src/main/scala/com/salesforce/op/stages/impl/feature/Transmogrifier.scala
+++ b/core/src/main/scala/com/salesforce/op/stages/impl/feature/Transmogrifier.scala
@@ -231,6 +231,10 @@ private[op] case object Transmogrifier {
           val (f, other) = castAs[StreetMap](g) // TODO make Street specific transformer
           f.vectorize(topK = TopK, minSupport = MinSupport, cleanText = CleanText, cleanKeys = CleanKeys,
             others = other, trackNulls = TrackNulls, maxPctCardinality = MaxPercentCardinality)
+        case t if t =:= weakTypeOf[NameStats] =>
+          val (f, other) = castAs[NameStats](g)
+          f.vectorize(topK = TopK, minSupport = MinSupport, cleanText = CleanText, cleanKeys = CleanKeys,
+            others = other, trackNulls = TrackNulls, maxPctCardinality = MaxPercentCardinality)
         case t if t =:= weakTypeOf[GeolocationMap] =>
           val (f, other) = castAs[GeolocationMap](g)
           f.vectorize(cleanKeys = CleanKeys, others = other, trackNulls = TrackNulls)
diff --git a/core/src/main/scala/com/salesforce/op/utils/stages/NameDetectUtils.scala b/core/src/main/scala/com/salesforce/op/utils/stages/NameDetectUtils.scala
new file mode 100644
index 0000000000..dce0ed201a
--- /dev/null
+++ b/core/src/main/scala/com/salesforce/op/utils/stages/NameDetectUtils.scala
@@ -0,0 +1,436 @@
+/*
+ * Copyright (c) 2017, Salesforce.com, Inc.
+ * All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ *
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ *
+ * * Neither the name of the copyright holder nor the names of its
+ *   contributors may be used to endorse or promote products derived from
+ *   this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+package com.salesforce.op.utils.stages
+
+import com.fasterxml.jackson.core.JsonGenerator
+import com.fasterxml.jackson.databind.SerializerProvider
+import com.fasterxml.jackson.databind.ser.std.StdSerializer
+import com.salesforce.op.features.types.NameStats.GenderValue
+import com.salesforce.op.features.types.NameStats.GenderValue._
+import com.salesforce.op.features.types.Text
+import com.salesforce.op.stages.impl.feature.{GenderDetectStrategy, TextTokenizer}
+import com.salesforce.op.utils.json.{JsonLike, JsonUtils, SerDes}
+import com.twitter.algebird._
+import com.twitter.algebird.macros.caseclass
+import org.apache.spark.broadcast.Broadcast
+import org.apache.spark.internal.Logging
+import org.apache.spark.ml.param.{BooleanParam, DoubleParam, IntParam, ParamValidators, Params}
+import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
+
+import scala.io.Source
+import scala.util.Try
+import scala.util.matching.Regex
+
+/**
+ * Provides shared helper functions and variables for name identification and name to gender transformation.
+ */
+private[op] trait NameDetectFun[T <: Text] extends Logging with NameDetectParams {
+  import GenderDetectStrategy._
+  import NameDetectUtils._
+
+  private[op] def preProcess(input: Text): Seq[String] = {
+    TextTokenizer.tokenize(input).tokens.toArray
+  }
+
+  private[op] def computeGuardCheckQuantities(
+    input: T#Value,
+    tokens: Seq[String],
+    hllMonoid: HyperLogLogMonoid
+  ): GuardCheckStats = {
+    input match {
+      case None => GuardCheckStats(0, 0, MomentsGroup.zero, hllMonoid.zero)
+      case Some(text) =>
+        val textLength = text.length
+        GuardCheckStats(
+          countBelowMaxNumTokens = if (tokens.length < $(guardMaxNumberOfTokens)) 1 else 0,
+          countAboveMinCharLength = if (textLength >= $(guardMinTextLength)) 1 else 0,
+          approxMomentsOfTextLength = Moments(textLength),
+          approxNumUnique = hllMonoid.create(text.getBytes)
+        )
+    }
+  }
+
+  private[op] def performGuardChecks(stats: GuardCheckStats, hllMonoid: HyperLogLogMonoid): Boolean = {
+    val N: Double = stats.approxMomentsOfTextLength.count.toDouble
+    val checks = List(
+      // check that in at least 3/4 of the texts there are no more than 10 tokens
+      (stats.countBelowMaxNumTokens / N) > $(guardPctMaxNumberOfTokens),
+      // check that at least 3/4 of the texts are longer than 3 characters
+      (stats.countAboveMinCharLength / N) > $(guardPctMinTextLength),
+      // check that the standard deviation of the text length is greater than a small number
+      N < $(guardMinCountForStdDevCheck) ||
+        stats.approxMomentsOfTextLength.stddev > $(guardMinStdDev),
+      // check that the number of unique entries is at least 10
+      N < $(guardMinCountForUniqueCheck) ||
+        hllMonoid.sizeOf(stats.approxNumUnique).estimate >= $(guardMinUniqueCheck)
+    )
+    checks.forall(identity)
+  }
+
+  private[op] def dictCheck(tokens: Seq[String], dict: NameDictionary): Double = {
+    if (tokens.isEmpty) 0.0 else {
+      tokens.map({ token: String => if (dict contains token) 1.0 else 0.0}).sum / tokens.length
+    }
+  }
+
+  private[op] def findHonorific(tokens: Seq[String]): GenderValue = {
+    tokens collect {
+      case v if MaleHonorifics.contains(v) => Male
+      case v if FemaleHonorifics.contains(v) => Female
+    } match {
+      case Seq(elem) => elem
+      case _ => GenderNA // Both no matches and more than one match should be NA
+    }
+  }
+
+  private[op] def genderDictCheck(nameToCheckGenderOf: T#Value, genderDict: GenderDictionary): GenderValue = {
+    nameToCheckGenderOf.flatMap(genderDict.get).map(
+      probMale => if (probMale >= 0.5) Male else Female
+    ).getOrElse(GenderNA)
+  }
+
+  private[op] def identifyGender(
+    input: T#Value,
+    tokens: Seq[String],
+    strategy: GenderDetectStrategy,
+    genderDict: GenderDictionary
+  ): GenderValue = {
+    input match {
+      case None => GenderNA
+      case Some(text) =>
+        strategy match {
+          case FindHonorific() => findHonorific(tokens)
+          case ByIndex(index) =>
+            val nameToCheckGenderOf = tokens.lift(index)
+            genderDictCheck(nameToCheckGenderOf, genderDict)
+          case ByLast() =>
+            val nameToCheckGenderOf = tokens.lastOption
+            genderDictCheck(nameToCheckGenderOf, genderDict)
+          case ByRegex(pattern) =>
+            text match {
+              case pattern(matchedGroup) =>
+                val nameToCheckGenderOf = preProcess(Text(matchedGroup)).headOption
+                genderDictCheck(nameToCheckGenderOf, genderDict)
+              case _ => GenderNA
+            }
+          case _ =>
+            logError("Unimplemented gender detection strategy found")
+            GenderNA
+        }
+    }
+  }
+
+  private[op] def computeGenderResultsByStrategy(
+    input: T#Value,
+    tokens: Seq[String],
+    genderDict: GenderDictionary
+  ): Map[String, GenderStats] = {
+    GenderDetectStrategies map { strategy: GenderDetectStrategy =>
+      val genderResult: GenderValue = identifyGender(input, tokens, strategy, genderDict)
+      implicit def booleanToInt(v: Boolean): Int = if (v) 1 else 0
+      strategy.toString -> GenderStats(genderResult == Male, genderResult == Female, genderResult == GenderNA)
+    } toMap
+  }
+
+  private[op] def computeResults(
+    input: T#Value,
+    nameDict: Broadcast[NameDictionary],
+    genderDict: Broadcast[GenderDictionary],
+    hll: HyperLogLogMonoid
+  ): NameDetectStats = input match {
+    case None if $(ignoreNulls) => NameDetectStats.empty
+    case _ =>
+      val tokens = preProcess(Text(input))
+      NameDetectStats(
+        computeGuardCheckQuantities(input, tokens, hll),
+        AveragedValue(1L, dictCheck(tokens, nameDict.value)),
+        computeGenderResultsByStrategy(input, tokens, genderDict.value)
+      )
+  }
+
+  private[op] def makeMapFunction(spark: SparkSession): T#Value => NameDetectStats = {
+    val broadcastNameDict: Broadcast[NameDictionary] = spark.sparkContext.broadcast(DefaultNameDictionary)
+    val broadcastGenderDict: Broadcast[GenderDictionary] = spark.sparkContext.broadcast(DefaultGenderDictionary)
+    val hllMonoid = new HyperLogLogMonoid(NameDetectUtils.HLLBits)
+
+    computeResults(_, broadcastNameDict, broadcastGenderDict, hllMonoid)
+  }
+
+  private[op] def computeTreatAsName(results: NameDetectStats): Boolean = {
+    val hllMonoid = new HyperLogLogMonoid(NameDetectUtils.HLLBits)
+    val guardChecksPassed = performGuardChecks(results.guardCheckQuantities, hllMonoid)
+    val predictedNameProb = results.dictCheckResult.value
+    guardChecksPassed && predictedNameProb >= $(nameThreshold)
+  }
+
+  private[op] def orderGenderStrategies(results: NameDetectStats): Seq[GenderDetectStrategy] = {
+    val ordered: Seq[(String, GenderStats)] = results.genderResultsByStrategy.toSeq.sortBy(_._2.numOther)
+    ordered map { case (strategy, _) => GenderDetectStrategy.fromString(strategy) }
+  }
+}
+
+/**
+ * Defines static values for name identification:
+ * - Dictionary filenames and how to read them in
+ * - The number of bits to use for HyperLogLog unique entry detection (part of guard checks)
+ * - List of male/female honorifics (English only so far)
+ * - The different gender detection strategies to try
+ *
+ * Name and gender data are maintained by and taken from this repository:
+ *  https://github.com/MWYang/InternationalNames
+ * which itself sources data from:
+ *  https://ec.europa.eu/jrc/en/language-technologies/jrc-names
+ *  https://github.com/OpenGenderTracking/globalnamedata
+ *  https://github.com/first20hours/google-10000-english
+ */
+private[op] object NameDetectUtils {
+  import GenderDetectStrategy._
+
+  type NameDictionary = Set[String]
+  lazy val DefaultNameDictionary: NameDictionary = {
+    val nameDictionary = collection.mutable.Set.empty[String]
+    val dictionaryPath = "/Names_JRC_Combined.txt"
+    val stream = getClass.getResourceAsStream(dictionaryPath)
+    val buffer = Source.fromInputStream(stream)
+    for {name <- buffer.getLines} {
+      nameDictionary += name
+    }
+    buffer.close
+    nameDictionary.toSet[String]
+  }
+  // Use the following line to use the smaller but less noisy gender dictionary as a source for names
+  // val DefaultNameDictionary: NameDictionary = DefaultGenderDictionary.value.keySet
+
+  type GenderDictionary = Map[String, Double]
+  lazy val DefaultGenderDictionary: GenderDictionary = {
+    val genderDictionary = collection.mutable.Map.empty[String, Double]
+    val dictionaryPath = "/GenderDictionary_USandUK.csv"
+    val stream = getClass.getResourceAsStream(dictionaryPath)
+    val buffer = Source.fromInputStream(stream)
+    // In the future, we could also make use of frequency information in this dictionary
+    for {row <- buffer.getLines.drop(1)} {
+      val cols = row.split(",").map(_.trim)
+      val name = cols(0).toLowerCase().replace("\\P{L}", "")
+      val probMale = Try {
+        cols(6).toDouble
+      }.toOption
+      probMale match {
+        case Some(prob) => genderDictionary += (name -> prob)
+        case None =>
+      }
+    }
+    buffer.close
+    genderDictionary.toMap[String, Double]
+  }
+
+  /**
+   * Number of bits used for hashing in HyperLogLog (HLL). Error is about 1.04/sqrt(2^{bits}).
+   * Default is 12 bits for 1% error which means each HLL instance is about 2^{12} = 4kb per instance.
+   */
+  val HLLBits = 12
+
+  val MaleHonorifics: Set[String] = Set("mr", "mister", "sir")
+  val FemaleHonorifics: Set[String] = Set("ms", "mrs", "miss", "madam")
+  val AllHonorifics: Set[String] = MaleHonorifics ++ FemaleHonorifics
+
+  /**
+   * The strategies to use for transforming name to gender; Order does not matter.
+   *
+   * The first RegEx pattern will extract all text after the first comma;
+   * The second RegEx pattern will extract all text after both the first comma and the immediately next token,
+   *   which accounts for patterns like `LastName, Honorific FirstName MiddleNames`
+   */
+  val TextAfterFirstComma: Regex = """.*,(.*)""".r
+  val TextAfterFirstCommaAndNextToken: Regex = """.*,\s+.*?\s+(.*)""".r
+  val GenderDetectStrategies: Seq[GenderDetectStrategy] = Seq(
+    FindHonorific(), ByIndex(0), ByLast(), ByRegex(TextAfterFirstComma), ByRegex(TextAfterFirstCommaAndNextToken)
+  )
+}
+
+private[op] case class GuardCheckStats
+(
+  countBelowMaxNumTokens: Int = 0,
+  countAboveMinCharLength: Int = 0,
+  approxMomentsOfTextLength: Moments = MomentsGroup.zero,
+  approxNumUnique: HLL = new HyperLogLogMonoid(NameDetectUtils.HLLBits).zero
+)
+
+private[op] case class GenderStats(numMale: Int = 0, numFemale: Int = 0, numOther: Int = 0)
+
+/**
+ * Defines the case class monoid that will accumulate stats on name detection in a single pass over the data
+ * @param guardCheckQuantities     a GuardCheckStats object that uses Algebird approximate algorithms to compute stats
+ * @param dictCheckResult          an Algebird AveragedValue object to automatically compute the percentage of name
+ *                                 tokens per entry, averaged over all rows
+ * @param genderResultsByStrategy  a map from the serialized GenderDetectStrategy to GenderStats case class;
+ *                                 the `numOther` value will be used to sort and find the best gender detection strategy
+ */
+private[op] case class NameDetectStats
+(
+  guardCheckQuantities: GuardCheckStats,
+  dictCheckResult: AveragedValue,
+  genderResultsByStrategy: Map[String, GenderStats]
+) extends JsonLike {
+  override def toJson(pretty: Boolean): String = {
+    val hllMonoid = new HyperLogLogMonoid(NameDetectUtils.HLLBits)
+    val serializer = new StdSerializer[HLL](classOf[HLL]) {
+      override def serialize(value: HLL, gen: JsonGenerator, provider: SerializerProvider): Unit = {
+        val sizeEstimate = hllMonoid.sizeOf(value)
+        gen.writeArray(
+          Array(sizeEstimate.min, sizeEstimate.estimate, sizeEstimate.max, sizeEstimate.probWithinBounds),
+          0, 4
+        )
+      }
+    }
+    val deserializer = null // will not need to deserialize HLL values
+    JsonUtils.toJsonString(this, pretty = pretty, Seq(SerDes[HLL](classOf[HLL], serializer, deserializer)))
+  }
+}
+private[op] case object NameDetectStats {
+  def monoid: Monoid[NameDetectStats] = {
+    implicit val hllMonoid: Monoid[HLL] = new HyperLogLogMonoid(NameDetectUtils.HLLBits)
+    implicit val momentsMonoid: Monoid[Moments] = MomentsAggregator.monoid
+    implicit val averagedValueMonoid: Monoid[AveragedValue] = AveragedGroup
+    implicit val guardCheckStatsMonoid: Monoid[GuardCheckStats] = caseclass.monoid[GuardCheckStats]
+    implicit val genderStatsMonoid: Monoid[GenderStats] = caseclass.monoid[GenderStats]
+    caseclass.monoid[NameDetectStats]
+  }
+
+  def empty: NameDetectStats = NameDetectStats(GuardCheckStats(), AveragedGroup.zero, Map.empty[String, GenderStats])
+
+  val kryo: Encoder[NameDetectStats] = Encoders.kryo[NameDetectStats]
+}
+
+private[op] trait NameDetectParams extends Params {
+  val nameThreshold = new DoubleParam(
+    parent = this,
+    name = "nameThreshold",
+    doc = "fraction of entries to be names before treating as name",
+    isValid = (value: Double) => {
+      ParamValidators.gt(0.0)(value) && ParamValidators.lt(1.0)(value)
+    }
+  )
+  setDefault(nameThreshold, 0.50)
+  def setThreshold(value: Double): this.type = set(nameThreshold, value)
+
+  val ignoreNulls = new BooleanParam(
+    parent = this,
+    name = "ignoreNulls",
+    doc = "whether to ignore null values when detecting names and gender"
+  )
+  setDefault(ignoreNulls, true)
+  def setIgnoreNulls(value: Boolean): this.type = set(ignoreNulls, value)
+
+  val guardMaxNumberOfTokens = new IntParam(
+    parent = this,
+    name = "guardMaxNumberOfTokens",
+    doc =
+      "maximum (exclusive) number of tokens per entry before not treating as name (helps exclude sentences/paragraphs)",
+    isValid = (value: Int) => ParamValidators.gt(0)(value)
+  )
+  setDefault(guardMaxNumberOfTokens, 10)
+  val guardPctMaxNumberOfTokens = new DoubleParam(
+    parent = this,
+    name = "guardPctMaxNumberOfTokens",
+    doc = "fraction of entries to have less than `guardMaxNumberOfTokens` in order to possibly treat as name",
+    isValid = (value: Double) => {
+      ParamValidators.gt(0.0)(value) && ParamValidators.lt(1.0)(value)
+    }
+  )
+  setDefault(guardPctMaxNumberOfTokens, 0.75)
+
+  val guardMinTextLength = new IntParam(
+    parent = this,
+    name = "guardMinTextLength",
+    doc = "minimum (inclusive) length per entry before not treating as name (helps exclude very short text)",
+    isValid = (value: Int) => ParamValidators.gtEq(0)(value)
+  )
+  setDefault(guardMinTextLength, 3)
+  val guardPctMinTextLength = new DoubleParam(
+    parent = this,
+    name = "guardPctMinTextLength",
+    doc = "fraction of entries to have more than `guardMinTextLength` in order to possibly treat as name",
+    isValid = (value: Double) => {
+      ParamValidators.gt(0.0)(value) && ParamValidators.lt(1.0)(value)
+    }
+  )
+  setDefault(guardPctMinTextLength, 0.75)
+
+  val guardMinCountForStdDevCheck = new IntParam(
+    parent = this,
+    name = "guardMinCountForStdDevCheck",
+    doc = "minimum (inclusive) number of entries before running standard deviation check",
+    isValid = (value: Int) => ParamValidators.gtEq(0)(value)
+  )
+  setDefault(guardMinCountForStdDevCheck, 10)
+  val guardMinStdDev = new DoubleParam(
+    parent = this,
+    name = "guardMinStdDev",
+    doc = "minimum (exclusive) standard deviation in order to possibly treat as name",
+    isValid = (value: Double) => ParamValidators.gt(0.0)(value)
+  )
+  setDefault(guardMinStdDev, 0.05)
+
+  val guardMinCountForUniqueCheck = new IntParam(
+    parent = this,
+    name = "guardMinCountForUniqueCheck",
+    doc = "minimum (inclusive) number of entries before running uniqueness check",
+    isValid = (value: Int) => ParamValidators.gtEq(0)(value)
+  )
+  setDefault(guardMinCountForUniqueCheck, 10)
+  val guardMinUniqueCheck = new IntParam(
+    parent = this,
+    name = "guardMinUniqueCheck",
+    doc = "minimum (inclusive) number of unique entries in order to possibly treat as name",
+    isValid = (value: Int) => ParamValidators.gtEq(0)(value)
+  )
+  setDefault(guardMinUniqueCheck, 10)
+
+  def setGuardCheckValues(
+    maxNumberOfTokens: Int = $(guardMaxNumberOfTokens),
+    pctMaxNumberOfTokens: Double = $(guardPctMaxNumberOfTokens),
+    minTextLength: Int = $(guardMinTextLength),
+    pctMinTextLength: Double = $(guardPctMinTextLength),
+    minCountForStdDevCheck: Int = $(guardMinCountForStdDevCheck),
+    minStdDev: Double = $(guardMinStdDev),
+    minCountForUniqueCheck: Int = $(guardMinCountForUniqueCheck),
+    minUniqueCheck: Int = $(guardMinUniqueCheck)
+  ): this.type = {
+    set(guardMaxNumberOfTokens, maxNumberOfTokens)
+    set(guardPctMaxNumberOfTokens, pctMaxNumberOfTokens)
+    set(guardMinTextLength, minTextLength)
+    set(guardPctMinTextLength, pctMinTextLength)
+    set(guardMinCountForStdDevCheck, minCountForStdDevCheck)
+    set(guardMinStdDev, minStdDev)
+    set(guardMinCountForUniqueCheck, minCountForUniqueCheck)
+    set(guardMinUniqueCheck, minUniqueCheck)
+  }
+}
diff --git a/core/src/test/scala/com/salesforce/op/stages/impl/feature/HumanNameDetectorTest.scala b/core/src/test/scala/com/salesforce/op/stages/impl/feature/HumanNameDetectorTest.scala
new file mode 100644
index 0000000000..aa3a9dfa17
--- /dev/null
+++ b/core/src/test/scala/com/salesforce/op/stages/impl/feature/HumanNameDetectorTest.scala
@@ -0,0 +1,332 @@
+/*
+ * Copyright (c) 2017, Salesforce.com, Inc.
+ * All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ *
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ *
+ * * Neither the name of the copyright holder nor the names of its
+ *   contributors may be used to endorse or promote products derived from
+ *   this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+package com.salesforce.op.stages.impl.feature
+
+import com.salesforce.op.features.types.NameStats.GenderValue._
+import com.salesforce.op.features.types.NameStats.Key._
+import com.salesforce.op.features.types._
+import com.salesforce.op.stages.base.unary.{UnaryEstimator, UnaryModel}
+import com.salesforce.op.test.{OpEstimatorSpec, TestFeatureBuilder}
+import com.salesforce.op.testkit.RandomText
+import com.salesforce.op.utils.stages.NameDetectUtils
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.types.Metadata
+import org.junit.runner.RunWith
+import org.scalatest.junit.JUnitRunner
+
+@RunWith(classOf[JUnitRunner])
+class HumanNameDetectorTest
+  extends OpEstimatorSpec[NameStats, UnaryModel[Text, NameStats], UnaryEstimator[Text, NameStats]] {
+
+  /**
+   * Input Dataset to fit & transform
+   */
+  val (inputData, f1) = TestFeatureBuilder(Seq("NOTANAME").toText)
+
+  /**
+   * Estimator instance to be tested
+   */
+  val estimator: HumanNameDetector[Text] = new HumanNameDetector().setInput(f1)
+
+  /**
+   * Expected result of the transformer applied on the Input Dataset
+   */
+  val expectedResult: Seq[NameStats] = Seq(NameStats(Map.empty[String, String]))
+
+  private lazy val NameDictionaryGroundTruth: RandomText[Text] = RandomText.textFromDomain(
+    NameDetectUtils.DefaultNameDictionary.toList
+  )
+
+  private def identifyName(data: Seq[Text]) = {
+    val (newData, newFeature) = TestFeatureBuilder(data)
+    val model = estimator.setInput(newFeature).fit(newData)
+    val result: DataFrame = model.transform(newData)
+    (newData, newFeature, model, result)
+  }
+
+  it should "identify a Text column with a single first name entry as Name" in {
+    val (_, _, model, _) = identifyName(Seq("Robert").toText)
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+  }
+
+  it should "not identify a Text column with a single non-name entry as Name" in {
+    val (_, _, model, _) = identifyName(Seq("Firetruck").toText)
+    model
+      .asInstanceOf[HumanNameDetectorModel[Text]]
+      .treatAsName shouldBe false
+  }
+
+  it should "identify a Text column with multiple first name entries as Name" in {
+    val names = NameDictionaryGroundTruth.withProbabilityOfEmpty(0.0).take(100).toList
+    val (_, _, model, _) = identifyName(names)
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+  }
+
+  it should "detect names based on the threshold correctly" in {
+    val N = 50
+    for {i <- Seq(2, 6)} {
+      val numberNames = (N / 10) * i
+      val names =
+        NameDictionaryGroundTruth.withProbabilityOfEmpty(0.0).take(numberNames).toList ++
+        RandomText.phones.withProbabilityOfEmpty(0.0).take(N - numberNames).toList.map(_.toString.toText)
+      val (newData, newFeature) = TestFeatureBuilder(names)
+      val newEstimator = new HumanNameDetector().setInput(newFeature)
+
+      val threshold = numberNames.toDouble / N
+      val modelBelowThreshold = newEstimator.setThreshold(threshold - 0.09).fit(newData)
+      val modelAboveThreshold = newEstimator.setThreshold(threshold + 0.09).fit(newData)
+      modelBelowThreshold.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+      modelAboveThreshold.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe false
+    }
+  }
+
+  it should "identify a Text column with a single full name entry as Name" in {
+    val (_, _, model, _) = identifyName(Seq("Elizabeth Warren").toText)
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+  }
+
+  it should "not identify email addresses as Name" in {
+    val (_, _, model, _) = identifyName(Seq("elizabeth@warren2020.com").toText)
+    model
+      .asInstanceOf[HumanNameDetectorModel[Text]]
+      .treatAsName shouldBe false
+  }
+
+  it should "not identify numbers as Name" in {
+    val (_, _, model, _) =
+      identifyName(Seq("1", "42", "0", "3000 michael").toText)
+    model
+      .asInstanceOf[HumanNameDetectorModel[Text]]
+      .treatAsName shouldBe false
+  }
+
+  it should "not identify a single repeated name as Name" in {
+    val (_, _, model, _) = identifyName(Seq.fill(200)("Michael").toText)
+    model
+      .asInstanceOf[HumanNameDetectorModel[Text]]
+      .treatAsName shouldBe false
+  }
+
+  it should "return an empty map when the input is not a Name" in {
+    val (_, _, _, result) = identifyName(Seq("Firetruck").toText)
+    result.show()
+    val map = result.collect().head(1).asInstanceOf[Map[String, String]]
+    map shouldBe null
+  }
+
+  it should "identify the gender of a single first Name correctly" in {
+    val (_, _, model, result) = identifyName(Seq("Alyssa").toText)
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+    val map = result.collect().head(1).asInstanceOf[Map[String, String]]
+    map.get(Gender.toString) shouldBe Some(Female.toString)
+  }
+
+  it should "identify which token is the first name in a single full name entry correctly" in {
+    val (_, _, model, _) = identifyName(Seq("Shelby Bouvet").toText)
+    model.asInstanceOf[HumanNameDetectorModel[Text]].orderedGenderDetectStrategies.head shouldBe
+      GenderDetectStrategy.ByIndex(0)
+  }
+
+  it should "identify the gender of a single full name entry correctly" in {
+    val (_, _, model, result) = identifyName(Seq("Shelby Bouvet").toText)
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+    val map = result.collect().head(1).asInstanceOf[Map[String, String]]
+    map.get(Gender.toString) shouldBe Some(Female.toString)
+  }
+
+  it should "identify the gender of a multiple full name entries (with varying token lengths) correctly" in {
+    // noinspection SpellCheckingInspection
+    // scalastyle:off
+    val (_, _, model, result) = identifyName(Seq(
+      "Sherrod Brown",
+      "Maria Cantwell",
+      "Benjamin L. Cardin",
+      "Lisa Maria Blunt Rochester",
+      "Thomas Robert Carper",
+      "Jennifer González-Colón"
+    ).toText)
+    // scalastyle:on
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+    val resultingMaps = result.collect().toSeq.map(row => row.get(1)).asInstanceOf[Seq[Map[String, String]]]
+    val identifiedGenders = resultingMaps.map(_.get(Gender.toString))
+    identifiedGenders shouldBe Seq(Male, Female, Male, Female, Male, Female).map(v => Some(v.toString))
+  }
+
+  it should "identify the gender of multiple full name entries by finding honorifics" in {
+    // noinspection SpellCheckingInspection
+    // scalastyle:off
+    val (_, _, model, result) = identifyName(Seq(
+      "Mr. Sherrod Brown",
+      "Mrs. Maria Cantwell",
+      "Mr. Benjamin L. Cardin",
+      "Ms. Lisa Maria Blunt Rochester",
+      "Mister Thomas Robert Carper",
+      "Miss Jennifer González-Colón"
+    ).toText)
+    // scalastyle:on
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+    model.asInstanceOf[HumanNameDetectorModel[Text]].orderedGenderDetectStrategies.headOption shouldBe
+      Some(GenderDetectStrategy.FindHonorific())
+
+    val resultingMaps = result.collect().toSeq.map(row => row.get(1)).asInstanceOf[Seq[Map[String, String]]]
+    val identifiedGenders = resultingMaps.map(_.get(Gender.toString))
+    identifiedGenders shouldBe Seq(Male, Female, Male, Female, Male, Female).map(v => Some(v.toString))
+  }
+
+  it should "not use the honorific strategy to find gender when there are multiple honorifics per entry" in {
+    // noinspection SpellCheckingInspection
+    // scalastyle:off
+    val (_, _, model, _) = identifyName(Seq(
+      "Jennifer González-Colón (Miss) (Mr.)"
+    ).toText)
+    // scalastyle:on
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+    model.asInstanceOf[HumanNameDetectorModel[Text]].orderedGenderDetectStrategies.headOption should not be
+      Some(GenderDetectStrategy.FindHonorific())
+  }
+
+  it should
+    """identify the gender of multiple full name entries in `LastName, FirstName` patterns""".stripMargin in {
+    // noinspection SpellCheckingInspection
+    // scalastyle:off
+    val (_, _, model, result) = identifyName(Seq(
+      "Brown, Sherrod",
+      "Cantwell, Maria",
+      "Cardin, Benjamin",
+      "Rochester, Lisa",
+      "Carper, Thomas",
+      "González-Colón, Jennifer"
+    ).toText)
+    // scalastyle:on
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+
+    val resultingMaps = result.collect().toSeq.map(row => row.get(1)).asInstanceOf[Seq[Map[String, String]]]
+    val identifiedGenders = resultingMaps.map(_.get(Gender.toString))
+    identifiedGenders shouldBe Seq(Male, Female, Male, Female, Male, Female).map(v => Some(v.toString))
+  }
+
+  it should
+    """identify the gender of multiple full name entries by using RegEx
+      |to detect `LastName, FirstName MiddleNames` patterns""".stripMargin in {
+    // noinspection SpellCheckingInspection
+    // scalastyle:off
+    val (_, _, model, result) = identifyName(Seq(
+      "Brown, Sherrod",
+      "Cantwell, Maria",
+      "Cardin, Benjamin L.",
+      "Rochester, Lisa Maria Blunt",
+      "Carper, Thomas Robert",
+      "González-Colón, Jennifer"
+    ).toText)
+    // scalastyle:on
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+    model.asInstanceOf[HumanNameDetectorModel[Text]].orderedGenderDetectStrategies.headOption.map(_.entryName) shouldBe
+      Some(GenderDetectStrategy.ByRegex(NameDetectUtils.TextAfterFirstComma).entryName)
+
+    val resultingMaps = result.collect().toSeq.map(row => row.get(1)).asInstanceOf[Seq[Map[String, String]]]
+    val identifiedGenders = resultingMaps.map(_.get(Gender.toString))
+    identifiedGenders shouldBe Seq(Male, Female, Male, Female, Male, Female).map(v => Some(v.toString))
+  }
+
+  it should
+    """identify the gender of multiple full name entries by using RegEx
+      |to detect `LastName, Honorific FirstName MiddleNames` patterns
+      |when the honorifics do not convey gender information""".stripMargin in {
+    // noinspection SpellCheckingInspection
+    // scalastyle:off
+    val (_, _, model, result) = identifyName(Seq(
+      "Brown, Dr. Sherrod L.",
+      "Cantwell, Prof. Maria Blunt"
+    ).toText)
+    // scalastyle:on
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+    model.asInstanceOf[HumanNameDetectorModel[Text]].orderedGenderDetectStrategies.headOption.map(_.entryName) shouldBe
+      Some(GenderDetectStrategy.ByRegex(NameDetectUtils.TextAfterFirstCommaAndNextToken).entryName)
+
+    val resultingMaps = result.collect().toSeq.map(row => row.get(1)).asInstanceOf[Seq[Map[String, String]]]
+    val identifiedGenders = resultingMaps.map(_.get(Gender.toString))
+    identifiedGenders shouldBe Seq(Male, Female).map(v => Some(v.toString))
+  }
+
+  it should "use mixed strategies to detect gender" in {
+    // noinspection SpellCheckingInspection
+    // scalastyle:off
+    val (_, _, model, result) = identifyName(Seq(
+      "Sherrod Brown",
+      "Cantwell, Maria",
+      "Mr. Benjamin L. Cardin",
+      "Rochester, Lisa Maria Blunt",
+      "Carper, Dr. Thomas Robert",
+      "González-Colón, Ms. Jennifer"
+    ).toText)
+    // scalastyle:on
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+    val resultingMaps = result.collect().toSeq.map(row => row.get(1)).asInstanceOf[Seq[Map[String, String]]]
+    val identifiedGenders = resultingMaps.map(_.get(Gender.toString))
+    identifiedGenders shouldBe Seq(Male, Female, Male, Female, Male, Female).map(v => Some(v.toString))
+  }
+
+  it should "ignore null values in calculating stats" in {
+    val names = NameDictionaryGroundTruth.withProbabilityOfEmpty(0.90).take(200).toList
+    val (newData, newFeature) = TestFeatureBuilder(names)
+    val model = estimator.setInput(newFeature).fit(newData)
+    model.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe true
+
+    val countNullsModel = estimator.setIgnoreNulls(false).setInput(newFeature).fit(newData)
+    countNullsModel.asInstanceOf[HumanNameDetectorModel[Text]].treatAsName shouldBe false
+  }
+
+  it should "produce the correct metadata" in {
+    val text = Text("Elizabeth Warren")
+    val (_, _, model, _) = identifyName(Seq(text))
+    val metadata: Metadata = model.getMetadata()
+    metadata shouldBe HumanNameDetectorMetadata(treatAsName = true, predictedNameProb = 1.0,
+      genderResultsByStrategy = estimator.computeGenderResultsByStrategy(
+        text.value, estimator.preProcess(text), NameDetectUtils.DefaultGenderDictionary)
+    ).toMetadata()
+  }
+
+  it should "have correctly working metadata helpers" in {
+    // noinspection SpellCheckingInspection
+    // scalastyle:off
+    val (_, _, model, _) = identifyName(Seq(
+      "Sherrod Brown",
+      "Cantwell, Maria",
+      "Mr. Benjamin L. Cardin",
+      "Rochester, Lisa Maria Blunt",
+      "Carper, Dr. Thomas Robert",
+      "González-Colón, Ms. Jennifer"
+    ).toText)
+    // scalastyle:on
+    val metadata: Metadata = model.getMetadata()
+    metadata shouldBe HumanNameDetectorMetadata.fromMetadata(metadata).toMetadata()
+  }
+}
diff --git a/features/src/main/scala/com/salesforce/op/aggregators/Maps.scala b/features/src/main/scala/com/salesforce/op/aggregators/Maps.scala
index 5079578804..59cda8542c 100644
--- a/features/src/main/scala/com/salesforce/op/aggregators/Maps.scala
+++ b/features/src/main/scala/com/salesforce/op/aggregators/Maps.scala
@@ -150,6 +150,7 @@ case object UnionConcatStateMap extends UnionConcatTextMap[StateMap](separator =
 case object UnionConcatCityMap extends UnionConcatTextMap[CityMap](separator = ",")
 case object UnionConcatPostalCodeMap extends UnionConcatTextMap[PostalCodeMap](separator = ",")
 case object UnionConcatStreetMap extends UnionConcatTextMap[StreetMap](separator = ",")
+case object UnionConcatNameStats extends UnionConcatTextMap[NameStats](separator = ",")
 
 
 /**
diff --git a/features/src/main/scala/com/salesforce/op/aggregators/MonoidAggregatorDefaults.scala b/features/src/main/scala/com/salesforce/op/aggregators/MonoidAggregatorDefaults.scala
index abec01873f..cba542a9ad 100644
--- a/features/src/main/scala/com/salesforce/op/aggregators/MonoidAggregatorDefaults.scala
+++ b/features/src/main/scala/com/salesforce/op/aggregators/MonoidAggregatorDefaults.scala
@@ -84,6 +84,7 @@ object MonoidAggregatorDefaults {
       case wt if wt =:= weakTypeOf[CityMap] => UnionConcatCityMap
       case wt if wt =:= weakTypeOf[PostalCodeMap] => UnionConcatPostalCodeMap
       case wt if wt =:= weakTypeOf[StreetMap] => UnionConcatStreetMap
+      case wt if wt =:= weakTypeOf[NameStats] => UnionConcatNameStats
       case wt if wt =:= weakTypeOf[GeolocationMap] => UnionGeolocationMidpointMap
       case wt if wt =:= weakTypeOf[Prediction] => UnionMeanPredicition
 
diff --git a/features/src/main/scala/com/salesforce/op/aggregators/TimeBasedAggregator.scala b/features/src/main/scala/com/salesforce/op/aggregators/TimeBasedAggregator.scala
index b1d09eb580..a6a0b8d231 100644
--- a/features/src/main/scala/com/salesforce/op/aggregators/TimeBasedAggregator.scala
+++ b/features/src/main/scala/com/salesforce/op/aggregators/TimeBasedAggregator.scala
@@ -152,6 +152,9 @@ case object FirstPostalCodeMap extends FirstAggregator[PostalCodeMap]
 case object LastStreetMap extends LastAggregator[StreetMap]
 case object FirstStreetMap extends FirstAggregator[StreetMap]
 
+case object LastNameStats extends LastAggregator[NameStats]
+case object FirstNameStats extends FirstAggregator[NameStats]
+
 case object LastGeolocationMap extends LastAggregator[GeolocationMap]
 case object FirstGeolocationMap extends FirstAggregator[GeolocationMap]
 
diff --git a/features/src/main/scala/com/salesforce/op/features/FeatureBuilder.scala b/features/src/main/scala/com/salesforce/op/features/FeatureBuilder.scala
index 3c2a17760f..5456d08951 100644
--- a/features/src/main/scala/com/salesforce/op/features/FeatureBuilder.scala
+++ b/features/src/main/scala/com/salesforce/op/features/FeatureBuilder.scala
@@ -80,6 +80,7 @@ object FeatureBuilder {
   def CityMap[I: WeakTypeTag](implicit name: sourcecode.Name): FeatureBuilder[I, CityMap] = CityMap(name.value)
   def PostalCodeMap[I: WeakTypeTag](implicit name: sourcecode.Name): FeatureBuilder[I, PostalCodeMap] = PostalCodeMap(name.value)
   def StreetMap[I: WeakTypeTag](implicit name: sourcecode.Name): FeatureBuilder[I, StreetMap] = StreetMap(name.value)
+  def NameStats[I: WeakTypeTag](implicit name: sourcecode.Name): FeatureBuilder[I, NameStats] = NameStats(name.value)
   def GeolocationMap[I: WeakTypeTag](implicit name: sourcecode.Name): FeatureBuilder[I, GeolocationMap] = GeolocationMap(name.value)
   def Prediction[I: WeakTypeTag](implicit name: sourcecode.Name): FeatureBuilder[I, Prediction] = Prediction(name.value)
 
@@ -144,6 +145,7 @@ object FeatureBuilder {
   def CityMap[I: WeakTypeTag](name: String): FeatureBuilder[I, CityMap] = FeatureBuilder[I, CityMap](name = name)
   def PostalCodeMap[I: WeakTypeTag](name: String): FeatureBuilder[I, PostalCodeMap] = FeatureBuilder[I, PostalCodeMap](name = name)
   def StreetMap[I: WeakTypeTag](name: String): FeatureBuilder[I, StreetMap] = FeatureBuilder[I, StreetMap](name = name)
+  def NameStats[I: WeakTypeTag](name: String): FeatureBuilder[I, NameStats] = FeatureBuilder[I, NameStats](name = name)
   def GeolocationMap[I: WeakTypeTag](name: String): FeatureBuilder[I, GeolocationMap] = FeatureBuilder[I, GeolocationMap](name = name)
   def Prediction[I: WeakTypeTag](name: String): FeatureBuilder[I, Prediction] = FeatureBuilder[I, Prediction](name = name)
 
diff --git a/features/src/main/scala/com/salesforce/op/features/FeatureSparkTypes.scala b/features/src/main/scala/com/salesforce/op/features/FeatureSparkTypes.scala
index 73eee1f357..f54c1cd17e 100644
--- a/features/src/main/scala/com/salesforce/op/features/FeatureSparkTypes.scala
+++ b/features/src/main/scala/com/salesforce/op/features/FeatureSparkTypes.scala
@@ -112,6 +112,7 @@ case object FeatureSparkTypes {
   val CityMap = mapType(City)
   val PostalCodeMap = mapType(PostalCode)
   val StreetMap = mapType(Street)
+  val NameStats = mapType(Text)
   val GeolocationMap = mapType(Geolocation)
   val Prediction = mapType(Real)
 
@@ -154,6 +155,7 @@ case object FeatureSparkTypes {
     case wt if wt =:= weakTypeOf[t.CityMap] => CityMap
     case wt if wt =:= weakTypeOf[t.PostalCodeMap] => PostalCodeMap
     case wt if wt =:= weakTypeOf[t.StreetMap] => StreetMap
+    case wt if wt =:= weakTypeOf[t.NameStats] => NameStats
     case wt if wt =:= weakTypeOf[t.GeolocationMap] => GeolocationMap
     case wt if wt =:= weakTypeOf[t.Prediction] => Prediction
 
diff --git a/features/src/main/scala/com/salesforce/op/features/types/FeatureType.scala b/features/src/main/scala/com/salesforce/op/features/types/FeatureType.scala
index 139626c859..b1a370e7bc 100644
--- a/features/src/main/scala/com/salesforce/op/features/types/FeatureType.scala
+++ b/features/src/main/scala/com/salesforce/op/features/types/FeatureType.scala
@@ -293,6 +293,7 @@ object FeatureType {
     classOf[CityMap] -> typeTag[CityMap],
     classOf[PostalCodeMap] -> typeTag[PostalCodeMap],
     classOf[StreetMap] -> typeTag[StreetMap],
+    classOf[NameStats] -> typeTag[NameStats],
     classOf[GeolocationMap] -> typeTag[GeolocationMap],
     classOf[Prediction] -> typeTag[Prediction],
     // Numerics
diff --git a/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeDefaults.scala b/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeDefaults.scala
index 93c6b6de35..d61708efd5 100644
--- a/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeDefaults.scala
+++ b/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeDefaults.scala
@@ -100,6 +100,7 @@ case object FeatureTypeDefaults {
   val CityMap = new t.CityMap(Map.empty)
   val PostalCodeMap = new t.PostalCodeMap(Map.empty)
   val StreetMap = new t.StreetMap(Map.empty)
+  val NameStats = new t.NameStats(Map.empty)
   val GeolocationMap = new t.GeolocationMap(Map.empty)
 
   /**
@@ -144,6 +145,7 @@ case object FeatureTypeDefaults {
       case wt if wt =:= weakTypeOf[t.CityMap] => CityMap
       case wt if wt =:= weakTypeOf[t.PostalCodeMap] => PostalCodeMap
       case wt if wt =:= weakTypeOf[t.StreetMap] => StreetMap
+      case wt if wt =:= weakTypeOf[t.NameStats] => NameStats
       case wt if wt =:= weakTypeOf[t.GeolocationMap] => GeolocationMap
 
       // Numerics
diff --git a/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeFactory.scala b/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeFactory.scala
index 0031f8b571..3181c472b2 100644
--- a/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeFactory.scala
+++ b/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeFactory.scala
@@ -110,6 +110,8 @@ case object FeatureTypeFactory {
         if (value == null) FeatureTypeDefaults.IDMap else new IDMap(value.asInstanceOf[Map[String, String]])
       case t if t =:= weakTypeOf[IntegralMap] => (value: Any) =>
         if (value == null) FeatureTypeDefaults.IntegralMap else new IntegralMap(value.asInstanceOf[Map[String, Long]])
+      case t if t =:= weakTypeOf[NameStats] => (value: Any) =>
+        if (value == null) FeatureTypeDefaults.NameStats else new NameStats(value.asInstanceOf[Map[String, String]])
       case t if t =:= weakTypeOf[MultiPickListMap] => (value: Any) =>
         if (value == null) FeatureTypeDefaults.MultiPickListMap
         else new MultiPickListMap(value.asInstanceOf[Map[String, Set[String]]])
diff --git a/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeSparkConverter.scala b/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeSparkConverter.scala
index d7dfa31509..75fe139883 100644
--- a/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeSparkConverter.scala
+++ b/features/src/main/scala/com/salesforce/op/features/types/FeatureTypeSparkConverter.scala
@@ -272,6 +272,7 @@ trait FeatureTypeSparkConverters {
   implicit val CityMapConverter = FeatureTypeSparkConverter[CityMap]()
   implicit val PostalCodeMapConverter = FeatureTypeSparkConverter[PostalCodeMap]()
   implicit val StreetMapConverter = FeatureTypeSparkConverter[StreetMap]()
+  implicit val NameStatsConverter = FeatureTypeSparkConverter[NameStats]()
   implicit val GeolocationMapConverter = FeatureTypeSparkConverter[GeolocationMap]()
   implicit val PredictionConverter = FeatureTypeSparkConverter[Prediction]()
 }
diff --git a/features/src/main/scala/com/salesforce/op/features/types/Maps.scala b/features/src/main/scala/com/salesforce/op/features/types/Maps.scala
index e65dafe375..b96d1ff3eb 100644
--- a/features/src/main/scala/com/salesforce/op/features/types/Maps.scala
+++ b/features/src/main/scala/com/salesforce/op/features/types/Maps.scala
@@ -280,6 +280,43 @@ object StreetMap {
   def empty: StreetMap = FeatureTypeDefaults.StreetMap
 }
 
+/**
+ * Name representation - map containing information related to a particular name.
+ *
+ * @param value map of keys to values, where the keys are defined by NameStats.Key
+ */
+class NameStats(value: Map[String, String]) extends TextMap(value) {
+  import NameStats.Key._
+  import NameStats.GenderValue.{Male, Female}
+
+  def isName: Boolean = (value.getOrElse(IsName.toString, false.toString) compareToIgnoreCase true.toString) == 0
+  def isMale: Boolean = (value.getOrElse(Gender.toString, "") compareToIgnoreCase Male.toString) == 0
+  def isFemale: Boolean = (value.getOrElse(Gender.toString, "") compareToIgnoreCase Female.toString) == 0
+}
+object NameStats {
+  import enumeratum._
+  sealed class Key extends EnumEntry
+  case object Key extends Enum[Key] {
+    val values: Seq[Key] = findValues
+    case object OriginalValue extends Key
+    case object IsName        extends Key
+    case object FirstName     extends Key
+    case object LastName      extends Key
+    case object Gender        extends Key
+  }
+  sealed class GenderValue extends EnumEntry
+  case object GenderValue extends Enum[GenderValue] {
+    val values: Seq[GenderValue] = findValues
+    case object Male              extends GenderValue
+    case object Female            extends GenderValue
+    case object GenderNA          extends GenderValue
+    case object GenderNotInferred extends GenderValue
+  }
+
+  def apply(value: Map[String, String]): NameStats = new NameStats(value)
+  def empty: NameStats = FeatureTypeDefaults.NameStats
+}
+
 /**
  * Map of geolocation values
  *
diff --git a/features/src/main/scala/com/salesforce/op/features/types/package.scala b/features/src/main/scala/com/salesforce/op/features/types/package.scala
index 5cb71f64da..b555acefa5 100644
--- a/features/src/main/scala/com/salesforce/op/features/types/package.scala
+++ b/features/src/main/scala/com/salesforce/op/features/types/package.scala
@@ -247,6 +247,7 @@ package object types extends FeatureTypeSparkConverters {
     def toCityMap: CityMap = new CityMap(v)
     def toPostalCodeMap: PostalCodeMap = new PostalCodeMap(v)
     def toStreetMap: StreetMap = new StreetMap(v)
+    def toNameStats: NameStats = new NameStats(v)
   }
   implicit class MapSetConversions(val v: Map[String, Set[String]]) extends AnyVal {
     def toMultiPickListMap: MultiPickListMap = new MultiPickListMap(v)
diff --git a/features/src/main/scala/com/salesforce/op/stages/OpPipelineStageReaderWriter.scala b/features/src/main/scala/com/salesforce/op/stages/OpPipelineStageReaderWriter.scala
index a23bb3b72e..180113b7cf 100644
--- a/features/src/main/scala/com/salesforce/op/stages/OpPipelineStageReaderWriter.scala
+++ b/features/src/main/scala/com/salesforce/op/stages/OpPipelineStageReaderWriter.scala
@@ -216,6 +216,7 @@ trait OpPipelineStageReadWriteFormats {
       EnumEntrySerializer.json4s[TimePeriod](TimePeriod) +
       EnumEntrySerializer.json4s[FeatureDistributionType](FeatureDistributionType) +
       EnumEntrySerializer.json4s[CombinationStrategy](CombinationStrategy) +
+      GenderDetectStrategy.json4s +
       new SpecialDoubleSerializer
 
 }
diff --git a/features/src/main/scala/com/salesforce/op/stages/impl/feature/GenderDetectStrategy.scala b/features/src/main/scala/com/salesforce/op/stages/impl/feature/GenderDetectStrategy.scala
new file mode 100644
index 0000000000..58e02f5117
--- /dev/null
+++ b/features/src/main/scala/com/salesforce/op/stages/impl/feature/GenderDetectStrategy.scala
@@ -0,0 +1,85 @@
+/*
+ * Copyright (c) 2017, Salesforce.com, Inc.
+ * All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ *
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ *
+ * * Neither the name of the copyright holder nor the names of its
+ *   contributors may be used to endorse or promote products derived from
+ *   this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+package com.salesforce.op.stages.impl.feature
+
+import enumeratum.{Enum, EnumEntry}
+import org.json4s.CustomSerializer
+import org.json4s.JsonAST.JString
+
+import scala.util.Try
+import scala.util.matching.Regex
+
+/**
+ * Defines the different kinds of gender detection strategies that are possible
+ *
+ * We need to overwrite `toString` in order to provide serialization during the Spark map and reduce steps and then
+ * the `fromString` function provides deserialization back to the `GenderDetectStrategy` class for the companion
+ * transformer
+ */
+sealed class GenderDetectStrategy extends EnumEntry
+case object GenderDetectStrategy extends Enum[GenderDetectStrategy] {
+  val values: Seq[GenderDetectStrategy] = findValues
+  val delimiter = " WITH VALUE "
+  val ByIndexString = "ByIndex"
+  val ByLastString = "ByLast"
+  val ByRegexString = "ByRegex"
+  val FindHonorificString = "FindHonorific"
+
+  case class ByIndex(index: Int) extends GenderDetectStrategy {
+    override def toString: String = ByIndexString + delimiter + index.toString
+  }
+  case class ByLast() extends GenderDetectStrategy {
+    override def toString: String = ByLastString
+  }
+  case class ByRegex(pattern: Regex) extends GenderDetectStrategy {
+    override def toString: String = ByRegexString + delimiter + pattern.toString
+  }
+  case class FindHonorific() extends GenderDetectStrategy {
+    override def toString: String = FindHonorificString
+  }
+
+  def fromString(s: String): GenderDetectStrategy = {
+    Option(s).map(_.split(delimiter)) match {
+      case Some(Array(ByIndexString, index)) if Try(index.toInt).isSuccess => ByIndex(index.toInt)
+      case Some(Array(ByLastString)) => ByLast()
+      case Some(Array(ByRegexString, regex)) if Try (regex.r).isSuccess => ByRegex(regex.r)
+      case Some(Array(FindHonorificString)) => FindHonorific()
+      case None => sys.error("Attempted to deserialize GenderDetectStrategy but found empty value")
+      case _ => sys.error(s"Attempted to deserialize GenderDetectStrategy but no matching entry found for value '$s'")
+    }
+  }
+
+  def json4s: CustomSerializer[GenderDetectStrategy] = new CustomSerializer[GenderDetectStrategy](_ =>
+    (
+      { case JString(s) => GenderDetectStrategy.fromString(s) },
+      { case x: GenderDetectStrategy => JString(x.toString) }
+    )
+  )
+}
diff --git a/features/src/test/scala/com/salesforce/op/aggregators/MonoidAggregatorDefaultsTest.scala b/features/src/test/scala/com/salesforce/op/aggregators/MonoidAggregatorDefaultsTest.scala
index bd14bd104c..3d1875f52d 100644
--- a/features/src/test/scala/com/salesforce/op/aggregators/MonoidAggregatorDefaultsTest.scala
+++ b/features/src/test/scala/com/salesforce/op/aggregators/MonoidAggregatorDefaultsTest.scala
@@ -155,6 +155,7 @@ class MonoidAggregatorDefaultsTest extends FlatSpec with TestCommon {
   private val cityMapTestSeq = textMapBase.map(new CityMap(_))
   private val postalCodeMapTestSeq = textMapBase.map(new PostalCodeMap(_))
   private val streetMapTestSeq = textMapBase.map(new StreetMap(_))
+  private val nameStatsTestSeq = textMapBase.map(new NameStats(_))
 
   private val multiPickListMapTestSeq = stringSetMapBase.map(new MultiPickListMap(_))
 
@@ -506,6 +507,7 @@ class MonoidAggregatorDefaultsTest extends FlatSpec with TestCommon {
     assertDefaultAggr(cityMapTestSeq, expectedCommaRes)
     assertDefaultAggr(postalCodeMapTestSeq, expectedCommaRes)
     assertDefaultAggr(streetMapTestSeq, expectedCommaRes)
+    assertDefaultAggr(nameStatsTestSeq, expectedCommaRes)
   }
 
   Spec(UnionBinaryMap.getClass) should "work" in {
diff --git a/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeFactoryTest.scala b/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeFactoryTest.scala
index 7082a197d9..c6aef41976 100644
--- a/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeFactoryTest.scala
+++ b/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeFactoryTest.scala
@@ -76,6 +76,7 @@ class FeatureTypeFactoryTest
     FeatureTypeFactory[CityMap](),
     FeatureTypeFactory[PostalCodeMap](),
     FeatureTypeFactory[StreetMap](),
+    FeatureTypeFactory[NameStats](),
     FeatureTypeFactory[GeolocationMap](),
     FeatureTypeFactory[Prediction](),
     // Numerics
diff --git a/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeSparkConverterTest.scala b/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeSparkConverterTest.scala
index 0577c7f31d..7885a4e004 100644
--- a/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeSparkConverterTest.scala
+++ b/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeSparkConverterTest.scala
@@ -39,6 +39,7 @@ import org.scalatest.PropSpec
 import org.scalatest.junit.JUnitRunner
 import org.scalatest.prop.{PropertyChecks, TableFor1}
 
+
 import scala.collection.mutable.{WrappedArray => MWrappedArray}
 import scala.concurrent.duration._
 
@@ -83,6 +84,11 @@ class FeatureTypeSparkConverterTest
     Map("1" -> 3L, "2" -> 4L).toIntegralMap -> Map("1" -> 3L, "2" -> 4L),
     Map("1" -> "one", "2" -> "two").toTextMap -> Map("1" -> "one", "2" -> "two"),
     Map("1" -> Set("a", "b")).toMultiPickListMap -> Map("1" -> MWrappedArray.make(Array("a", "b"))),
+    Map(NameStats.Key.IsName.toString -> true.toString,
+      NameStats.Key.Gender.toString -> NameStats.GenderValue.Female.toString
+    ).toNameStats -> Map(NameStats.Key.IsName.toString -> true.toString,
+      NameStats.Key.Gender.toString -> NameStats.GenderValue.Female.toString
+    ),
     Map("1" -> Seq(1.0, 5.0, 6.0)).toGeolocationMap -> Map("1" -> MWrappedArray.make(Array(1.0, 5.0, 6.0)))
   )
 
diff --git a/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeTest.scala b/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeTest.scala
index 7fb921341f..a06d70ebe3 100644
--- a/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeTest.scala
+++ b/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeTest.scala
@@ -74,6 +74,7 @@ class FeatureTypeTest extends PropSpec with PropertyChecks with TestCommon {
     CityMap.empty,
     PostalCodeMap.empty,
     StreetMap.empty,
+    NameStats.empty,
     GeolocationMap.empty,
     // Numerics
     Binary.empty,
@@ -133,6 +134,10 @@ class FeatureTypeTest extends PropSpec with PropertyChecks with TestCommon {
     CityMap(Map("a" -> "Palo Alto")),
     PostalCodeMap(Map("a" -> "94071")),
     StreetMap(Map("a" -> "Emerson Ave")),
+    NameStats(Map(
+      NameStats.Key.IsName.toString -> true.toString,
+      NameStats.Key.Gender.toString -> NameStats.GenderValue.Female.toString
+    )),
     GeolocationMap(Map("a" -> Seq(1.0, 1.0, 1.0))),
     Prediction(1.0, Array(0.0, 1.0), Array(2.0, 3.0)),
     // Numerics
diff --git a/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeValueTest.scala b/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeValueTest.scala
index 345b98e6b4..ea1c597f2d 100644
--- a/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeValueTest.scala
+++ b/features/src/test/scala/com/salesforce/op/features/types/FeatureTypeValueTest.scala
@@ -165,6 +165,7 @@ class FeatureTypeValueTest extends PropSpec with PropertyChecks with TestCommon
       checkVals(CityMap(x), x)
       checkVals(PostalCodeMap(x), x)
       checkVals(StreetMap(x), x)
+      checkVals(NameStats(x), x)
     }
     forAll(setMapGen) { x => checkVals(MultiPickListMap(x), x) }
     forAll(geoMapGen) { x => checkVals(GeolocationMap(x), x) }
diff --git a/features/src/test/scala/com/salesforce/op/features/types/MapTest.scala b/features/src/test/scala/com/salesforce/op/features/types/MapTest.scala
index 7d87b7fa55..ed3125bb16 100644
--- a/features/src/test/scala/com/salesforce/op/features/types/MapTest.scala
+++ b/features/src/test/scala/com/salesforce/op/features/types/MapTest.scala
@@ -31,9 +31,11 @@
 package com.salesforce.op.features.types
 
 import com.salesforce.op.test.TestCommon
+import com.salesforce.op.testkit.RandomMap
 import org.junit.runner.RunWith
 import org.scalatest.junit.JUnitRunner
 import org.scalatest.{Assertions, FlatSpec, Matchers}
+
 import scala.reflect.runtime.universe._
 
 
@@ -317,6 +319,32 @@ class MapTest extends FlatSpec with TestCommon {
     Map("aaa" -> Set("b")).toMultiPickListMap shouldBe a[MultiPickListMap]
   }
 
+  /* NameStats tests */
+  Spec[NameStats] should "extend correct base classes and have a working shortcut" in {
+    val m = new NameStats(Map.empty[String, String])
+    m shouldBe a[FeatureType]
+    m shouldBe a[OPCollection]
+    m shouldBe a[OPMap[_]]
+    m shouldBe a[TextMap]
+
+    Map(
+      NameStats.Key.IsName.toString -> true.toString,
+      NameStats.Key.Gender.toString -> NameStats.GenderValue.Female.toString
+    ).toNameStats shouldBe a[NameStats]
+  }
+
+  Spec[NameStats] should "have working helper functions" in {
+    val nameStatsSeq = RandomMap.ofNameStats() take 50
+    nameStatsSeq forall { nameStats =>
+      val workingIsName = nameStats.value
+        .get(NameStats.Key.IsName.toString)
+        .map(_ == true.toString)
+        .contains(nameStats.isName)
+      val workingGenderHelpers = nameStats.isMale || nameStats.isFemale
+      workingIsName && workingGenderHelpers
+    }
+  }
+
   /* Prediction tests */
   Spec[Prediction] should "extend correct base classes" in {
     val m = Prediction(0.0)
diff --git a/testkit/src/main/scala/com/salesforce/op/test/TestFeatureBuilder.scala b/testkit/src/main/scala/com/salesforce/op/test/TestFeatureBuilder.scala
index ea835bc74f..d0cb2dc095 100644
--- a/testkit/src/main/scala/com/salesforce/op/test/TestFeatureBuilder.scala
+++ b/testkit/src/main/scala/com/salesforce/op/test/TestFeatureBuilder.scala
@@ -350,6 +350,7 @@ case object TestFeatureBuilder {
       RandomText.postalCodes, 0, 5
     ).limit(numOfRows),
     streetMaps: => Seq[StreetMap] = RandomMap.of[Street, StreetMap](RandomText.streets, 0, 5).limit(numOfRows),
+    nameStats: => Seq[NameStats] = RandomMap.ofNameStats().limit(numOfRows),
     geoLocationMaps: => Seq[GeolocationMap] = RandomMap.ofGeolocations[UniformGeolocation](
       RandomList.ofGeolocations, 0, 5
     ).limit(numOfRows),
@@ -386,7 +387,7 @@ case object TestFeatureBuilder {
       dateTimeMaps, emailMaps, idMaps, integralMaps, multiPickListMaps,
       percentMaps, phoneMaps, pickListMaps, realMaps, textAreaMaps,
       textMaps, urlMaps, countryMaps, stateMaps, cityMaps,
-      postalCodeMaps, streetMaps, geoLocationMaps, binaries, currencies,
+      postalCodeMaps, streetMaps, nameStats, geoLocationMaps, binaries, currencies,
       dates, dateTimes, integrals, percents, reals, realNNs,
       multiPickLists, base64s, comboBoxes, emails, ids, phones,
       pickLists, texts, textAreas, urls, countries, states,
diff --git a/testkit/src/main/scala/com/salesforce/op/testkit/RandomMap.scala b/testkit/src/main/scala/com/salesforce/op/testkit/RandomMap.scala
index 8c05e7bb6b..37857f94bc 100644
--- a/testkit/src/main/scala/com/salesforce/op/testkit/RandomMap.scala
+++ b/testkit/src/main/scala/com/salesforce/op/testkit/RandomMap.scala
@@ -35,6 +35,7 @@ import scala.reflect.runtime.universe.WeakTypeTag
 import scala.util.Random
 import RandomMap._
 import com.salesforce.op.features.types._
+import com.salesforce.op.testkit.DataSources.{RandomFirstName, RandomLastName}
 
 /**
  * Generator of maps
@@ -157,6 +158,28 @@ object RandomMap {
   RandomMap[Long, M] =
     mapsOf[Long, M](valueGenerator.numbers.producer, minSize, maxSize, sources = Some(valueGenerator))
 
+  /**
+   * Produces random NameStats maps (custom maps with pre-defined keys/values with names and demographic info)
+   *
+   * @return a generator of NameStats maps; the keys will be limted to the set defined by NameStats.Keys
+   */
+  def ofNameStats(): RandomMap[String, NameStats] = {
+    def getRandomElement(list: Seq[String], random: Random): String =
+      list(random.nextInt(list.length))
+    val producer: Random => Seq[String] = rng => {
+      val firstName = RandomFirstName(rng)
+      val lastName = RandomLastName(rng)
+      Seq(
+        firstName + " " + lastName,
+        getRandomElement(Seq(true.toString, false.toString), rng),
+        firstName, lastName,
+        getRandomElement(NameStats.GenderValue.values.map(_.toString), rng)
+      )
+    }
+    val values: RandomStream[Seq[String]] = RandomStream(producer = producer)
+    val keys: Int => String = NameStats.Key.values.map(_.toString)
+    RandomMap[String, NameStats](values = values, keys = keys, sources = None)
+  }
 
   /**
    * Produces random maps of geolocation
diff --git a/testkit/src/test/scala/com/salesforce/op/test/TestFeatureBuilderTest.scala b/testkit/src/test/scala/com/salesforce/op/test/TestFeatureBuilderTest.scala
index d2904f7e7c..3500f894ab 100644
--- a/testkit/src/test/scala/com/salesforce/op/test/TestFeatureBuilderTest.scala
+++ b/testkit/src/test/scala/com/salesforce/op/test/TestFeatureBuilderTest.scala
@@ -145,7 +145,7 @@ class TestFeatureBuilderTest extends FlatSpec with TestSparkContext with Feature
   it should "create a dataset with all random features" in {
     val numOfRows = 15
     val (ds, features) = TestFeatureBuilder.random(numOfRows = numOfRows)()
-    features.length shouldBe 51
+    features.length shouldBe 52
 
     ds.schema.fields.map(f => f.name -> f.dataType) should contain theSameElementsInOrderAs
       features.map(f => f.name -> FeatureSparkTypes.sparkTypeOf(f.wtt))
diff --git a/testkit/src/test/scala/com/salesforce/op/testkit/RandomMapTest.scala b/testkit/src/test/scala/com/salesforce/op/testkit/RandomMapTest.scala
index 0a6edaaf58..386a04c0fc 100644
--- a/testkit/src/test/scala/com/salesforce/op/testkit/RandomMapTest.scala
+++ b/testkit/src/test/scala/com/salesforce/op/testkit/RandomMapTest.scala
@@ -86,6 +86,41 @@ class RandomMapTest extends FlatSpec with TestCommon with Assertions {
     (sut take samples.length map (_.value.toMap) toList) shouldBe samples
   }
 
+  private def checkWithMapPredicate[D, T <: OPMap[D]](
+    sut: RandomMap[D, T],
+    minLen: Int, maxLen: Int,
+    predicate: (T => Boolean) = (_: T) => true,
+    samples: List[Map[String, D]] = Nil
+  ) = {
+    sut reset rngSeed
+
+    val found = sut.next
+    sut reset rngSeed
+    val foundAfterReseed = sut.next
+    withClue(s"generator reset did not work for $sut") {
+      foundAfterReseed shouldBe found
+    }
+
+    sut reset rngSeed
+
+    def segment = sut take numTries
+
+    segment count (_.value.size < minLen) shouldBe 0
+    segment count (_.value.size > maxLen) shouldBe 0
+
+    def number(key: String) = try {
+      key dropWhile (!Character.isDigit(_)) toInt
+    } catch {
+      case _: Exception => 0
+    }
+
+    segment foreach (map => predicate(map) shouldBe true)
+    sut reset rngSeed + 1
+    (sut take samples.length map (_.value.toMap) toList) shouldBe samples
+    sut reset rngSeed + 1
+    (sut take samples.length map (_.value.toMap) toList) shouldBe samples
+  }
+
   Spec[Text, RandomMap[String, TextMap]] should "generate maps of texts" in {
     val sut = RandomMap.of[Text, TextMap](RandomText.strings(2, 5), 0, 4)
     check[String, TextMap](sut, 0, 4, s => s.length >= 2 && s.length < 5)
@@ -267,6 +302,24 @@ class RandomMapTest extends FlatSpec with TestCommon with Assertions {
     )
   }
 
+  Spec[Text, RandomMap[String, NameStats]] should "generate NameStats maps correctly" in {
+    val sut = RandomMap.ofNameStats()
+    checkWithMapPredicate[String, NameStats](sut,
+      minLen = NameStats.Key.values.length,
+      maxLen = NameStats.Key.values.length,
+      predicate = { nameStats =>
+        val allKeysPresent = NameStats.Key.values map { nameStats.value contains _.toString } forall identity
+        val validNameIndicatorEntries = Seq(true, false)
+          .map(bool => Some(bool.toString))
+          .contains(nameStats.value.get(NameStats.Key.IsName.toString))
+        val validGenderEntries = NameStats.GenderValue.values
+          .map(enum => Some(enum.toString))
+          .contains(nameStats.value.get(NameStats.Key.Gender.toString))
+        allKeysPresent & validNameIndicatorEntries & validGenderEntries
+      }
+    )
+  }
+
   Spec[PickList, RandomMap[String, PickListMap]] should "generate maps of picklists" in {
     val domain = "Bourbon"::"Cabernet"::"Beer"::Nil
     val sut = RandomMap.of[PickList, PickListMap](RandomText.pickLists(domain), 1, 4)