I am an Assistant Professor in the Department of Computer Science at Rutgers University, and a member of the EconCS Group at Rutgers. My research interests lie in the intersection of artificial intelligence and economics. My recent work focuses on studying multi-agent, game-theoretic environments where agents interact, often with the aid of algorithms, and agents' desires may not easily and reliably match up. My work finds applications to economic platforms, recommender systems, financial markets (centralized and decentralized), blockchain and its applications, social networks, etc.
Before Rutgers, I was a postdoctoral fellow in Computer Science and EconCS group at Harvard University, working with David C. Parkes. In 2021, I completed my Ph.D. in Computer Science at the University of Michigan, advised by Michael P. Wellman. I have worked as Ph.D. research intern at Microsoft Research and J.P. Morgan AI Research. I received a B.Sc. in Computer Science from Washington University in St. Louis, class of 2015.
Office hour (Spring 2026): Fridays 3-4pm @ CoRE 319. Feel free to drop by and discuss research or anything.
Papers Group Teaching Openings
Group
- Yuhong Luo, PhD student (Fall 2024 - )
- Michael Hyder, PhD student (Fall 2025 - )
- Yunran Yang, PhD student (with Lirong Xia, Fall 2025 - )
- Garrett Seo, undergraduate & MS student (Summer 2024 - )
- Tri-An Nguyen, undergraduate student (Fall 2024 - )
Current Members
Teaching
- CS440: Introduction to Artificial Intelligence (Spring 2026)
- CS 598: Economics and Computation (Fall 2025)
- CS440: Introduction to Artificial Intelligence (Fall 2024)
- CS 598: AI Methods for Market Design (Spring 2024)