About me

I am a Ph.D. student in Machine Learning at Paul G. Allen School of Computer Science and Engineering at University of Washington advised by Prof. Sewoong Oh.

Currently, I am trying to understand the scaling limit of gradient flows of functions over large dense unlabeled weighted graphs (examples include single and multilayer neural networks). Such graphs are known to have analytical limits known as Graphons. Our recent work studies the existence of gradient flows on the space of graphons, and the conditions under which a standard gradient descent process over finite graphs converges to a well-defined gradient flow on the space of graphons, as the size of the graphs increase. Stochastic analogs of the problem are also of interest.

Prior to joining graduate school, I spent two amazingly 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.

In my spare time, I like learning Mathematical Analysis, Geometry, theoretical Physics, Economics and Finance. Personally and more broadly, I consider myself as a student of Mathematics, seeking its artistic elegance in various scientific subjects.

Here is my Curriculum Vitae.

Contact me at <first_name><second_name_initial>[at]cs[dot]washington[dot]edu.