Michael Burkhart

Sr. Data Scientist

Chicago, Illinois, United States
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Summary

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Michael Burkhart is a senior data scientist with nine years of experience applying advanced machine learning to healthcare and consumer problems, currently developing ML solutions in the Beaulieu-Jones Lab at the University of Chicago. He holds a PhD in Applied Mathematics from Brown and has blended academic rigor with industry impact through roles at Cambridge and Adobe, where he built causal and personalized models at scale. His research has spanned neural decoding and brain–computer interfaces, graph neural networks for predicting brain age, and automating covariate shift detection—demonstrating a knack for translating statistical theory into robust, production-ready pipelines. Comfortable across PyTorch Geometric, PySpark, LightGBM and causal forests, he pairs probabilistic modeling with practical data engineering to tackle noisy, longitudinal biomedical datasets. Based in Chicago, Michael is equally at home mentoring interns on representation learning as he is prototyping novel Bayesian and graph-based approaches for early disease diagnosis.
code10 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at Brown University
bookB.Sc., Statistics, B.Sc., Statistics at Purdue University
bookM.Sc., Mathematics, M.Sc., Mathematics at Rutgers University
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Stackoverflow

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Github Skills (26)

algorithms10
python10
statistics10
data-science9
scipy9
machine-learning9
scientific-computing9
data-analysis9
react8
scikit-learn8
numpy8
gatsby7
nextjs7
gatsbyjs7
mercurial7

Programming languages (7)

TypeScriptCSSC++JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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burkh4rt/DKF-implementations

May 2020 - Feb 2022

This repository contains code implementations for the Discriminative Kalman Filter.
Contributions:2 releases, 17 commits, 2 PRs in 1 year 9 months
kalman-filter
burkh4rt/DKF-dissertation

Jul 2018 - Sep 2020

Contributions:1 release, 11 commits, 2 pushes in 2 years 2 months
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