Welcome! I'm a joint Economics & Statistics PhD candidate at MIT, and I received my A.B. in Mathematics from Harvard College. My work studies multi-agent learning outcomes, axiomatic foundations of statistical optimality, and misspecification-aware procedures.
I'm especially interested in using tools from microeconomic theory and econometrics to help make AI systems safe and aligned. In Spring 2027, I'll be on leave from MIT as an Anthropic Fellow.
My email is rickyli@mit.edu. You can find my Google Scholar page here and my CV here.
Working Papers
Axiomatizing Local Asymptotic Minimax Risk
Misspecification-Averse Estimation (with Isaiah Andrews and Yucheng Shang)
Inertial Coordination Games (with Andrew Koh and Kei Uzui)
Revision requested at Journal of Economic Theory.
Extended abstract published in the Proceedings of the 26th ACM Conference on Economics and Computation (EC'25). [link]
Balanced Social Learning (with Andrew Koh)
Submitted; new draft posted!
Inactive Notes
Bayesian Persuasion and Data Brokers (with Kei Uzui)
Dynamic Random Choice (my undergraduate thesis)