I will be joining Paul G. Allen School of Computer Science and Engineering at University of Washington as a PhD student from Fall 2019.
I am broadly interested in the aspects of Large-Scale Optimization and Probability theory that arise in fundamental Machine Learning. Other topic that have caught my recent attention are 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 Neural Networks. Prior to the fellowship, I attended IIT Guwahati where I obtained my B.Tech. in Mathematics and Computing in 2017.
You can find my resume here.