1 spotlight paper accepted to NeurIPS 2025; won the Google PhD Fellowship in the Algorithms and Optimization track; 1 paper accepted to ICLR 2025; 1 paper accepted to EC 2024; 4 papers accepted to ICML 2024; submission Heartbreak won the ProSocial Ranking Challenge.
Research Experience
Worked as a machine learning engineer at Cerebras Systems, building frameworks for running large models on custom accelerators; joined Google Research, working with Renato Paes-Leme and Song Zuo on mechanism design problems in the context of Large Language Models; involved in an academic project with Morgan Stanley Machine Learning Research team on the game-theoretic dynamics of online execution algorithms.
Education
PhD student in Computer Science at Harvard, advised by Yiling Chen; Master's degree in Computer Science from the University of Toronto, supervised by Nisarg Shah; Bachelor's degree in Electrical and Computer Engineering from the same institution.
Background
Research interests lie at the intersection of economics and computer science, specifically in strategic behavior and incentives that arise in supervised or online multi-agent learning problems. Also interested in computational problems in information design.
Miscellany
Enjoys running, biking, reading classic literature, and cooking.