Michal Grzadkowski

Senior Research Software Engineer at Princeton University

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Michal Grzadkowski is a Senior Research Software Engineer in New York with about a decade of experience applying machine learning to decipher how mutations drive cancer. He develops and interprets mutation classification models trained on large gene expression datasets to illuminate tumor development pathways and guide individualized treatment decisions. At Princeton he builds research-grade software informed by prior roles at OHSU and MIT, blending rigorous computational methods with domain knowledge from biology and cryo-EM. Michal is also a contributor to cryoDRGN, linking expertise in 3D reconstruction of cryo-EM particles with his work on model interpretability. He combines a strong mathematical foundation from Waterloo with advanced computer science training from MIT to translate complex research questions into reproducible, usable tools. Notably, his focus is as much on explaining model decisions as on model performance, helping bridge the gap between predictions and biological mechanisms.
code10 years of coding experience
job8 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at Massachusetts Institute of Technology
bookBachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Waterloo
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Github Skills (7)

neural-network8
python4
etl1
graph1
continuous-delivery1
docker1
modeling1

Programming languages (4)

IoJupyter NotebookPythonClojure

Github contributions (5)

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Contributions:34 commits, 13 pushes, 1 branch in 14 days
PrincetonUniversity/Vatic

Nov 2022 - Jul 2023

Vatic is a Python package for running simulations of a power grid using the PJM framework.
Contributions:6 releases, 1 PR, 61 pushes in 8 months
python
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