I am a PhD candidate in the Computer Science department
at Princeton University, fortunate to be advised by Prof. Sanjeev Arora
. My interests lie in understanding the success of modern machine learning algorithms and improving/designing algorithms that are grounded in mathematical principles. I am broadly interested in Theoretical Machine Learning
and Natural Language Processing
with recent focus on theory for self-supervised learning, representation learning and meta-learning.
I received a Masters of Science in Engineering in Computer Science at Princeton prior to this. Before joining Princeton University, I worked as an Associate Engineer at Samsung Electronics, South Korea in the R&D center. I completed my B.Tech. with Honors in Computer Science and Engineering and Minor in Mathematics from the Indian Institute of Technology Bombay