Chris Kennedy
Instructor In Psychiatry
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolChris Kennedy is an instructor in psychiatry at Harvard Medical School and Massachusetts General Hospital who applies a rare blend of biostatistics, machine learning, and causal inference to precision psychiatry. With a PhD in biostatistics from UC Berkeley and 17 years of experience running his data science firm Kennedy Analytics, he builds targeted ML, NLP, IRT, and EHR-driven solutions for health research and startups. His background in political data science and campaign field experiments informs rigorous experimental design and measurement approaches in clinical contexts. Affiliations with Beth Israel Deaconess and UC Berkeley’s D-Lab reflect an interdisciplinary practice spanning surgical informatics to population-level mental health modeling. He also consults across health, research, and policy sectors, translating complex methods into actionable decision-making.
17 years of coding experience
Master of Arts (M.A.), Political Science, Master of Arts (M.A.), Political Science at University of California, BerkeleyB.A., Government, Economics, B.A., Government, Economics at The University of Texas at AustinMPAff., Public Affairs, MPAff., Public Affairs at The LBJ School of Public Affairs
Github Skills (200)
gbm10
dataflow10
slurm10
nearest-neighbors10
svm10
cffi10
knitr10
hyperparameter-optimization10
automl10
portable10
genetic10
llm-inference10
statsmodels10
nlp10
gam10
Programming languages (16)
Github contributions (5)
ck37/superlearner-guide
Sep 2016 - Apr 2019
Contributions:25 commits, 19 pushes, 1 branch in 2 years 7 months
ck37/SuperLearner
Jul 2016 - Aug 2019
SuperLearner R package: prediction model ensembling method
Contributions:213 pushes, 78 branches in 3 years 1 month
r-packagepredictionmethodmachine-learningprediction-model
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