Chinmaya Kausik
Quantitative Researcher
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolChinmaya Kausik is a PhD student and researcher in mathematics and machine learning at the University of Michigan, specializing in sequential decision making with strong theoretical guarantees and practical impact. With eight years of experience across academia and industry, he has worked on offline RL, bandits, causal inference, model predictive control, and GNNs, and has shipped research-backed code used in production settings. Internships at Microsoft, Netflix, and Jane Street resulted in tangible gains—reducing bidding latency and errors, improving LLM retrieval and QA performance, and doubling proof-of-concept R^2 in finance applications. He co-founded an online math camp that raised $20k and has a strong mathematical foundation from IISc that underpins his work in provable algorithms. Chinmaya combines deep theory (top-tier math training and theorem-proving experience) with hands-on systems development, aiming to build safe, reliable AI agents that improve human decision making.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Indian Institute of Science (IISc)Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at University of Michigan
English, Hindi, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
github-pages10
jekyll10
jekyll-theme10
topology9
combinatorics8
mathematics8
logic8
scala7
theorem-proving5
camp4
react2
javascript2
python2
css2
inference1
Programming languages (6)
Github contributions (5)
Chinmaya-Kausik/chinmaya-kausik.github.io
Mar 2022 - Nov 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:557 pushes in 3 years 8 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
Chinmaya-Kausik/loom
Apr 2026 - Apr 2026
Contributions:207 pushes, 1 branch in 22 days
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