I am a first-year PhD student at MIT EECS, where I am advised by Aleksander Mądry. My research focuses on reliable machine learning. My work is supported in part by the MIT Presidential Graduate Fellowship.

Previously, I was a research associate at Google Research and a research fellow at Microsoft Research, where I worked with Praneeth Netrapalli and Prateek Jain. I graduated with my BS in Computer Science and Statistics from the University of Illinois at Urbana-Champaign (UIUC).


ModelDiff: A Framework for Comparing Learning Algorithms
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