I am a second-year PhD student in Computer Science at Cornell University. I am advised by Karthik Sridharan. My research interests are in theoretical machine learning, particularly in the design of trustworthy learning algorithms that meet theoretical guarantees of privacy, fairness, and robustness. My research is supported by a 2024-2025 Bowers-CIS Linkedin Fellowship.

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

• (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!
• (August 2023) I am starting my PhD at Cornell University!