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 study machine learning methods in settings where data is imperfect – compromised by corruption, biases, and missingness. I design learning algorithms and causal inference methods with desirable properties (such as robustness, stability, and efficiency). I also analyze language models, algorithms, and societal systems using principled frameworks – to uncover hidden potentials, inherent limitations, and vulnerabilities. Broadly, I am interested in machine learning and statistics – with a focus on the foundations of generative AI and missing data problems.
Apart from Yale, I also worked at Microsoft Research and EPFL. As an undergraduate at IIT Kanpur, I received the Sri Binay Kumar Sinha Award for the best undergraduate project addressing a societal problem and represented IIT Kanpur at the ICPC World Final. I also teach at the Yale ICPC Club.
