I am a fifth year PhD student at UC Berkeley. I am associated with the Berkeley Artificial Intelligence Research group (BAIR). My research interests lie at the intersection of Theoretical Statistics and Machine Learning. Some areas I am interested in and have worked on in the past include, understanding the generalization ability of overparameterized classifiers, Monte Carlo methods, optimization guarantees for structured non-convex problems and online learning with partial information (bandit feedback). I am fortunate to be advised by Peter Bartlett and Michael DeWeese.
I graduated from Indian Institute of Technology Bombay in 2015 with a dual degree B.Tech+M.Tech in Engineering Physics.
PhD in Physics, 2021 (expected)
University of California Berkeley
BTech and MTech in Engineering Physics, 2015
Indian Institute of Technology Bombay