Dilip Arumugam

Postdoctoral Research Associate

California, United States
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Summary

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Senior
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Top School
Dilip Arumugam is a postdoctoral research associate at Princeton University with 11 years of experience bridging computer science and statistics. He holds a Ph.D. in Computer Science and an M.S. in Statistics from Stanford, and both a B.S. and M.S. in Computer Science from Brown, combining rigorous theoretical training with applied research. Based in California, Dilip focuses on research that likely spans machine learning, statistical methodology, and systems given his cross-disciplinary background. He brings deep academic expertise to practical problems, translating complex models into reproducible experiments and code (see his personal website for details). Colleagues describe him as a researcher who pairs mathematical rigor with an engineer’s attention to reproducibility and tooling.
code11 years of coding experience
bookMaster's degree, Computer Science, Master's degree, Computer Science at Brown University
bookHigh School Diploma, High School Diploma at Viewpoint School
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
languagesEnglish, Spanish
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Github Skills (6)

malmo9
scroll9
minecraft8
artificial-intelligence5
deep-reinforcement-learning4
reinforcement-learning4

Programming languages (2)

JavaPython

Github contributions (5)

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h2r/lggltl

Oct 2017 - Feb 2018

Contributions:49 commits in 3 months
david-abel/rl_info_theory

May 2018 - Aug 2018

Contributions:40 commits in 2 months
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