I am a 5th year CIS Ph.D. student at the University of Pennsylvania advised by Pratik Chaudhari. I am interested in a principled data-centric view of deep learning. My research seeks to answer questions like: (1) What data should we train on, to generalize to a specific task? (2) What are properties of data that lead to successful representation learning (3) How does data change with time and how should models adapt?
I spent summer 2023 with NTT Research at the Harvard Center for Brain Science and worked on language models and in-context learning with Hidenori Tanaka. Previously, I interned at Amazon AI labs and worked on pre-trained models for image classification with Avinash Ravichandran and Aditya Deshpande.
I graduated from IIT Madras in 2019, at the top of my class, with a dual degree in computer science and a minor in physics. I was advised by Balaraman Ravindran and worked on building hierarchical representations for reinforcement learning using successor representations.
I am currently on the job market and am looking for research scientist and post-doc opportunities!