About Me

I am a 5th year PhD student at UC Berkeley, jointly advised by Jiantao Jiao and Kannan Ramchandran, affiliated with the BLISS and BAIR labs. I was previously an intern with Nevena Lazic and Dong Yin at Deepmind and with Ravishankar Krishnaswamy at MSR.

I work on a variety of topics in the theory of machine learning with a general focus on the statistical and computational aspects of adaptive decision making problems and reinforcement learning. More recently, I have been interested in the application of these techniques in pushing our understanding of large language models. My research has largely focused on using mathematical frameworks to provide intuitions missing in existing empirical approaches.

I was previously an organizer of the BLISS and CLIMB seminars at Berkeley. Shoot me an email if you are interested in giving a talk at either venue!

In a previous life, I was a dual degree student at the Department of Electrical Engineering, IIT Madras. I am fortunate to have had Andrew Thangaraj as my thesis advisor and to have worked closely with Rahul Vaze.

Updates

May 2025: Organizing a COLT ‘25 workshop on the Foundations of Post-training. Submission deadline: May 19, 2025!

Jan 2025: I am a CPAL Rising Star for the year 2025.

July 2023: I passed my qualifying exam! Thanks to my committee members, Profs. Jiantao Jiao, Kannan Ramchandran, Sasha Rakhlin, and chaired by Prof. Mike Jordan.

Publications and Preprints

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