I am a Ph.D. candidate at Yale University, where I am very fortunate to be advised by Amin Karbasi and Manolis Zampetakis. Before this, I received a B.Tech. in Computer Science and Engineering from IIT Kanpur.
I develop and apply learning-theoretic tools to missing data problems of various forms – those arising in causal inference, in truncated-statistics settings, and from omissions rooted in societal biases. I use insights from this, to study the potential and limitations of current Generative AI systems. Often contributing new tools back to learning theory from both the study of Generative AI systems and missing data.
More broadly, I am interested in Machine Learning and Statistics, and their intersection with Modern ML, Causal Inference, and Society.
My work has received the Best Paper Award at COLT (2025), been featured in the WIRED, and received the Sir Binay Kumar Sinha award from IIT Kanpur. As an undergraduate, I also represented IIT Kanpur at the ICPC World Final. I also teach at the Yale ICPC Club.
Here is my Curriculum Vitae.
