I am a third-year PhD candidate in Computer Science at Cornell University. I am very lucky to be advised by Karthik Sridharan. My research interests are in theoretical machine learning, particularly in the design of trustworthy learning algorithms with theoretical guarantees. My research was supported by a 2025 Bowers-CIS Linkedin Fellowship. Recently, I have been working on new approaches to privacy and machine unlearning.

Before joining Cornell, I received a B.S. in Computer Science and a B.S. in Economics from the University of Pennsylvania. I was a member of the Jerome Fisher Management and Technology Program.

News

• (June 2026) Our paper “Predictability as a Fine-Grained Measure of Predictability” is now on arxiv!
• (May 2025) Our paper “System-Aware Unlearning Algorithms: Use Lesser, Forget Faster” has been accepted to ICML 2025!
• (September 2024) I was awarded the Bowers-CIS Linkedin Fellowship!