I am a Motwani Postdoctoral Fellow at Stanford hosted by Amin Saberi. I completed my Ph.D. at Yale University where I was fortunate to be advised by Amin Karbasi and Manolis Zampetakis.
I study machine learning in settings where standard assumptions fail, especially with missing or selectively observed data and in the foundations and safety of Generative AI. More broadly, I am interested in Learning Theory, Causal Inference, Theoretical Machine Learning, and AI Safety.
My work has received the Best Paper Award at COLT, been featured in WIRED, and received the Sri Binay Kumar Sinha award from IIT Kanpur. As an undergraduate, I represented IIT Kanpur at the ICPC World Final. While at Yale, I also taught at the Yale ICPC Club.
Here is my Curriculum Vitae.
