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samvidav/README.md

Samvida S. Venkatesh

Education

University of Oxford, UK (2019-2024)
D.Phil in Genomic Medicine and Statistics; Rhodes Scholar, Clarendon Scholar, Wellcome Trust PhD Studentship

Princeton University, Princeton, NJ, United States (2015-2019)
A.B. in Molecular Biology; Certificates: Computer Science, Quantitative and Computational Biology
Phi Beta Kappa, Sigma Xi, Summa cum Laude, Senior Thesis Prize, Shapiro Prize for Academic Excellence

Research Experience

Holmes and Hughes Groups, Dept. of Statistics and Weatherall Institute of Molecular Medicine, University of Oxford (2024-Present)
Triangulate statistical and machine learning methods to evaluate molecular and phenotypic effects of non-coding genetic variation.

Lindgren Group, Big Data Institute, University of Oxford (2020-2024)
Analyse longitudinal multivariate quantitative traits such as adiposity and hormone measures to elucidate their underlying genetic architecture and contributions to the development of common complex human diseases.

Cristea Lab, Dept. of Molecular Biology, Princeton University (2017-2019)
Designed web-accessible tool to visualise and analyse spatially and temporally dynamic protein-protein interactions. Conducted wet-lab experiments to elucidate viral-host protein interactions in HCMV.

Publications and pre-prints

  1. Baya NA, Sur-Erdem I, Venkatesh SS, et al. (2024) Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. medRxiv 2024.09.19.24313913.
  2. Currant H, Arthofer C, …, Venkatesh SS, et al. (2024) Genome-wide analysis identifies 66 variants underlying anatomical variation in human neuroendocrine structures and reveals links to testosterone. medRxiv 2024.08.01.24311295.
  3. Venkatesh SS, Ganjgahi H, Palmer DS, et al. (2024) Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records. Nat Commun. 2024 Jul 10;15(1):5801.
  4. Lassen FH, Venkatesh SS, Baya N, et al. (2024) Exome-wide evidence of compound heterozygous effects across common phenotypes in the UK Biobank. Cell Genom. 2024 Jul 10;4(7):100602.
  5. Venkatesh SS, Wittemans LBL, Palmer D, et al. (2024) The genetics of infertility and reproductive hormones across the allele frequency spectrum. medRxiv 2024.03.19.24304530
  6. Venkatesh SS, Ferreira T, Benonisdottir S, et al. (2022) The role of obesity in female reproductive conditions: A Mendelian Randomisation study. PLoS Med 19(2): e1003679
  7. Federspiel JD*, Cook KC*, Kennedy MA*, Venkatesh SS*, et al. (2020) Mitochondria and peroxisome remodelling across cytomegalovirus infection time viewed through the lens of Inter-ViSTA. Cell Reports 32(4): e107943
  8. Federspiel JD, Tandon P, …, Venkatesh SS, et al. (2019) Conservation and divergence of protein pathways in the vertebrate heart. PLoS Biol 17(9): e3000437

Conference Presentations

  1. Invited Speaker, South of England Genetic Epidemiology Meeting, Exeter, UK (2024)
  2. Selected Talk, American Society for Human Genetics, Washington DC, USA (2023)
  3. Invited Speaker, Danish Cardiovascular Academy Symposium on Sex Differences in Metabolic and Cardiovascular Diseases, Sonderborg, Denmark (2022)
  4. Selected Talk, European Society for Human Genetics, Vienna, Austria (2022)
  5. Best Trainee Talk, European Mathematical Genetics Meeting, Cambridge, UK (2022) - View talk here

Consulting (Part-Time)

AI Research Assistant, Ellison Institute of Technology, Oxford (2024-Present)
Catalogue the AI and data landscape for scientific programs, bridging needs of science-focussed teams with methods development in the data and compute teams.

Statistics Consultant, Atticus Group LLC, USA (2019-Present)
Conduct statistical analyses to produce figures, tables, and text for manuscripts on medical technology (4 to date).

Teaching

MSc Statistical Science Supervisor, University of Oxford (2024)
Sole supervisor for thesis titled: "Investigating genetic variants assocaiated with dynamic gene expression profiles in blood cells."

Maths and Statistics Tutor, University of Oxford (2020-2024)
Lead tutorials on mathematical modelling and statistics for first-year biomedical sciences undergraduates. Design and conduct workshops for postgraduate & postdoctoral researchers on statistics & data management.

Waynflete Academic in Biology, Magdalen College School, Oxford (2023-2024)
Advise on extended research projects for Sixth Form students. Design and provide enrichment content for weekly Biology Society meetings. Prepare students for Oxbridge applications and interviews.

Faculty, Oxbridge Academic Programs, University of Cambridge (2019, 2023)
Created syllabus and taught seminar-style classes on Molecular Biology for students aged 13-15.

Head Tutor, McGraw Centre for Teaching and Learning, Princeton University (2016-2019)
Tutored 350+ fellow undergraduates in introductory math and science courses in individual & group sessions.

Popular repositories Loading

  1. VISTA VISTA Public

    Visualization of Interactions in Space and Time Analysis tool

    C++

  2. samvidav samvidav Public

    Config files for my GitHub profile.

  3. climate-analysis climate-analysis Public

    OxRSE github training template

    Python

  4. schmidt-ai-rse-training schmidt-ai-rse-training Public

    Code generated during Schmidt AI Research Software Engineering Training

    Jupyter Notebook

  5. oxrse_unit_conv oxrse_unit_conv Public

    Forked from OxfordRSE/oxrse_unit_conv

    Python unit conversion library for teaching collaborative GitHub techniques.

    Python

  6. continuous-integration-course continuous-integration-course Public

    Training on how to use continuous integration

    Python