Projects

When Stated, Revealed, and Normative Preferences Diverge: Experimental Evidence from Personalized News Feeds

with Alex Moehring.

Taste-as-Program: Scalable Preference Elicitation with Artificial Intelligence

with Gili Rusak and John J. Horton.

Mass In Silico Replication of Social Science Experiments

with Jacob Snyder, John J. Horton, and Abhishek Nagaraj.

What Causes Price Bubbles? Theory and Evidence from Simulations and the Lab

with Cady Ngo, Christopher Avery, and Colin Camerer.

Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining

With Crystal Qian, Kehang Zhu, John J. Horton, Vivian Tsai, James Wexler, and Nithum Thain. **ACM Conference on Intelligent User Interfaces (IUI)**, 2026.

General Social Agents

With John J. Horton. Revise & Resubmit at **Econometrica**. Extended abstract at the **ACM Conference on Economics & Computation (EC '26)**. Job Market Paper WISE 2025 Best Paper Award

The Coasean Singularity? Demand, Supply, and Market Design with AI Agents

With Peyman Shahidi, Gili Rusak, Andrey Fradkin, and John J. Horton. Chapter 6 in **The Economics of Transformative AI**, University of Chicago Press, 2026.

Automated Social Science: Language Models as Scientist and Subjects

With Kehang Zhu and John J. Horton. Reject and Resubmit at the **Quarterly Journal of Economics**. Extended abstract at the **ACM Conference on Economics & Computation (EC '26)**. EC '26 Exemplary Paper Award

Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?

With John J. Horton and Apostolos Filippas. Conditionally accepted at the **Review of Economics and Statistics**. Extended abstract at the **ACM Conference on Economics & Computation (EC '24)**.

Modeling Human Behavior with Type Vectors Using AI

With Matthew O. Jackson, Yutong Xie, Walter Yuan, and Qiaozhu Mei. Under review.