Summary
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.
11 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Brown University
High School Diploma, High School Diploma at Viewpoint School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
English, Spanish