I am a 1st year Ph.D. student at Paul G. Allen School of Computer Science and Engineering at University of Washington working with Prof. Sewoong Oh.
I am broadly interested in the aspects of Large-Scale Optimization and Probability theory that arise in fundamental Machine Learning. Related topic that have caught my recent attention are Stochastic gradient flow/descent on non-convex landscapes, Gradient flows in the space of probability measures and Manifold Optimization. I am also interested in High dimensional geometry, Statistics, Analysis and Physical sciences.
Previously, I spent two wonderful years as a Research Fellow at Microsoft Research Lab - India where I was fortunate to work with Dr. Praneeth Netrapalli and Dr. Prateek Jain on provable non-convex optimization algorithms for Machine Learning and understanding several phenomena in Deep learning. Prior to the fellowship, I attended IIT Guwahati where I obtained my B.Tech. in Mathematics and Computing in 2017.
Here is my Curriculum Vitae
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