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👨🏻💻 Currently, I'm a ML Security Engineer at Snowflake. Previously I was a member of MI².AI, where I was working on explainable artificial intelligence and applications of machine learning in healthcare.
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👀 I'm interested in AI security.
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📂 Some of my academic projects:
- SurvSHAP(t) - the method developed for time-dependent explanations of survival models (with Python implementation)
- survex - the R package providing model-agnostic explanations for survival models
- Aspect - the module of the dalex Python package for global and local explanations that take into account the dependencies between the variables
- artemis - the Python package with explanation methods for extraction of feature interactions from predictive models
- treeshap - the R package for fast computation of SHAP values using TreeSHAP algorithm (mantaining and improving)
- check my papers on Scholar
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📫 Reach me:
- on LinkedIn
- or by email: krzyzinskimateusz23@gmail.com
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ML Security Engineer @ Snowflake
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Snowflake
- Warsaw, Poland
- krzyzinski.com
- @krzyzinskim
Highlights
- Pro
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MI2DataLab/survshap
MI2DataLab/survshap PublicSurvSHAP(t): Time-dependent explanations of machine learning survival models
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ModelOriented/survex
ModelOriented/survex PublicExplainable Machine Learning in Survival Analysis
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ModelOriented/DALEX
ModelOriented/DALEX PublicmoDel Agnostic Language for Exploration and eXplanation
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MI2DataLab/MI2DataLab_Seminarium
MI2DataLab/MI2DataLab_Seminarium PublicMateriały z seminariów prowadzonych w MI^2 DataLabie.
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ModelOriented/DALEX-docs
ModelOriented/DALEX-docs PublicDocumentation for the DALEX project
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