About Me

I am a postdoc at Microsoft Research NYC in the Reinforcement Learning group. I recently finished my PhD at UC Berkeley, 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. While at Berkeley, I organized the BLISS and CLIMB seminars.

I work on a variety of topics in the theory and practice of machine learning with a general focus on the statistical and computational aspects of adaptive decision making problems and RL. 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.

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 23, 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

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