Sameer Deshpande

Assistant Professor at University of Wisconsin-Madison

Madison, Wisconsin, United States
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Summary

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Sameer Deshpande is an Assistant Professor of Statistics at the University of Wisconsin–Madison with a decade of experience at the intersection of Bayesian methodology and applied inference. He develops and applies Bayesian additive regression trees, hierarchical modeling, and variable selection techniques for causal inference problems in sports and public health. Before joining Wisconsin he was a postdoctoral associate at MIT working with Tamara Broderick, and he earned his Ph.D. in Statistics from Wharton under Ed George and Veronika Rockova. His work blends rigorous theory with practical applications, often translating complex Bayesian models into tools for real-world decision-making. Outside academia he channels analytical creativity into cooking, cocktail crafting, and rooting for Dallas sports teams.
code10 years of coding experience
job3 years of employment as a software developer
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Massachusetts Institute of Technology
bookTexas Academy of Mathematics and Science
bookDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at The Wharton School
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Github Skills (8)

bart9
spike5
regression5
machine-learning3
sampler2
bayesian2
statistics2
bayesian-inference1

Programming languages (4)

RC++SCSSHTML

Github contributions (5)

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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:270 pushes, 6 branches, 1 issue in 5 years 4 months
templategithub-pages-templatemmistakesmistakesjekyll
skdeshpande91/VCBART

Mar 2020 - Jan 2023

R implementation of VCBART
Contributions:49 commits, 12 PRs, 64 pushes in 2 years 11 months
bart
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Sameer Deshpande - Assistant Professor at University of Wisconsin-Madison