I am a postdoc in Berkeley AI Research. In Fall 2022, I will join Carnegie Mellon University as an Assistant Professor in the Computer Science Department, with an affiliation with the Machine Learning Department.
I work broadly in machine learning and my goal is to make machine learning more reliable and robust. My work spans both theory and practice, and leverages tools and concepts from statistics, convex optimization, and algorithms to improve the robustness of modern systems based on deep learning.
I received my PhD from Stanford University where I was fortunate to be advised by Percy Liang. Previously, I obtained by BTech in Computer Science from IIT Madras in 2016.