I am a first-year PhD student at MIT EECS. My research interests are primarily in evaluating, understanding, and improving the robustness and reliability of machine learning models.

Previously, I was a research associate in the ML foundations team at Google Research India. Before that, I spent two years as a research fellow at Microsoft Research India, where I worked with Praneeth Netrapalli and Prateek Jain. I obtained my BS in Computer Science and Statistics from the University of Illinois at Urbana-Champaign (UIUC).


Papers

Do Input Gradients Highlight Discriminative Features?
The Pitfalls of Simplicity Bias in Neural Networks
Growing Attributed Networks through Local Processes
Number of Connected Components in a Graph: Estimation via Counting Patterns