I am a postdoctoral fellow in Computer Science at Harvard John A. Paulson School of Engineering and Applied Sciences working with David C. Parkes. I graduated from the University of Michigan in April 2021 with a Ph.D. in Computer Science, advised by Michael P. Wellman. You can find my CV here.
My research interests lie in the intersection of computer science and economics. My work aims to develop computational tools to understand the behaviors and strategic interactions of agents and to design effective mechanisms or economic systems that can achieve desired social objectives.
I am on the 2022-2023 academic job market.
Research Overview. Today's markets (e.g., economic platforms, recommender systems, financial markets and blockchains) are complex systems where algorithms interact with humans and other algorithms at an unprecedented complexity, speed, and scale. This raises the urgent question of modeling the behaviors that can be expected in such algorithmic markets for the design of effective multi-agent systems. Drawing on techniques from AI and machine learning, microeconomics, and optimization, I have focused on studying three interconnected components, centered around individual agents, the market designer, and normative considerations facing a "social planner" (who represents human values), towards a vision of constructing efficient and healthy economic systems.