I am a PhD student at MIT CSAIL. I work with Aleksander Mądry on topics related to reliable machine learning. In the past, I have worked at Google Research and Microsoft Research. Before that, I studied Computer Science and Statistics at UIUC.

Selected Papers (Show all)

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