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👨🏻💻 I'm a member of MI².AI, where I'm working on explainable artificial intelligence and applications of machine learning in healthcare.
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👀 I'm interested in responsible machine learning but also in data visualization, statistics, functional data analysis, and climate science.
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📂 Some of my 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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👨🏻🎓 I'm studying Data Science at Warsaw University of Technology.
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📫 Reach me:
- on LinkedIn
- or by email: [email protected] or [email protected]
krzyzinskim Goto Github PK
Name: Mateusz Krzyziński
Type: User
Company: MI2.AI, Warsaw University of Technology
Bio: Data Science Student @ WUT | Researcher @ MI2.AI
Twitter: krzyzinskim
Location: Warsaw, Poland