PhD Student

Massachusetts Institute of Technology

I’m a 5th-year PhD candidate in the Information Technology group at MIT Sloan. A central theme across my research is developing new applications of AI for both social science and markets. Concretely, I study AI agents as: (1) models of human behavior, and (2) decision-makers acting on behalf of consumers and firms. Many of these applications require tools that do not yet exist, so much of my research builds new tools and methods — computational systems to run simulations, mobile apps for experiments, agent-mediated markets — and then rigorously evaluates them.

Here are links to my [Research], [CV], and [Google Scholar]. This [MIT news article] provides a summary of my work. I am very fortunate to have my research supported in part by Emergent Ventures and Schmidt Sciences.

I will be on the AY 2026-2027 job market.

Interests

AI Behavioral Science
Market Design
Behavioral & Experimental Economics

Education

Ph.D., Management Science & Information Technology, 2022 - Present
Massachusetts Institute of Technology
S.M., Management Research, 2024
Massachusetts Institute of Technology
Master of Public Policy, 2021
Harvard Kennedy School
B.A., Mathematics, 2017
Washington University in St. Louis

A national megastudy shows that email nudges to elementary school teachers boost student math achievement, particularly when personalized

with Angela L. Duckworth, Katherine L. Milkman, and 26 others).
Proceedings of the National Academy of Sciences, 2025.

PDF

Effect Size Magnification. No Variable is as Important as the One You’re Thinking About—While You’re Thinking About It

With Linnea Gandhi and Angela L. Duckworth.
Current Directions in Psychological Science, 2024.

PDF Podcast: Under The Cortex

A national megastudy shows that email nudges to elementary school teachers boost student math achievement, particularly when personalized

with Angela L. Duckworth, Katherine L. Milkman, and 26 others).
Proceedings of the National Academy of Sciences, 2025.

PDF

Effect Size Magnification. No Variable is as Important as the One You’re Thinking About—While You’re Thinking About It

With Linnea Gandhi and Angela L. Duckworth.
Current Directions in Psychological Science, 2024.

PDF Podcast: Under The Cortex

A national megastudy shows that email nudges to elementary school teachers boost student math achievement, particularly when personalized

with Angela L. Duckworth, Katherine L. Milkman, and 26 others).
Proceedings of the National Academy of Sciences, 2025.

PDF

Effect Size Magnification. No Variable is as Important as the One You’re Thinking About—While You’re Thinking About It

With Linnea Gandhi and Angela L. Duckworth.
Current Directions in Psychological Science, 2024.

PDF Podcast: Under The Cortex

A national megastudy shows that email nudges to elementary school teachers boost student math achievement, particularly when personalized

with Angela L. Duckworth, Katherine L. Milkman, and 26 others).
Proceedings of the National Academy of Sciences, 2025.

PDF

Effect Size Magnification. No Variable is as Important as the One You’re Thinking About—While You’re Thinking About It

With Linnea Gandhi and Angela L. Duckworth.
Current Directions in Psychological Science, 2024.

PDF Podcast: Under The Cortex

PhD Student

Massachusetts Institute of Technology

Interests

Education

Working Papers

Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining

General Social Agents

Large Language Models as Simulated Economic Agents: What we can learn from Homo Silicus

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

Automated Social Science: Language Models as Scientist and Subjects

Prompt Adaptation as a Dynamic Complement in Generative AI Systems

A national megastudy shows that email nudges to elementary school teachers boost student math achievement, particularly when personalized

Effect Size Magnification. No Variable is as Important as the One You’re Thinking About—While You’re Thinking About It

Peer-Reviewed Publications

Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining

General Social Agents

Large Language Models as Simulated Economic Agents: What we can learn from Homo Silicus

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

Automated Social Science: Language Models as Scientist and Subjects

Prompt Adaptation as a Dynamic Complement in Generative AI Systems

A national megastudy shows that email nudges to elementary school teachers boost student math achievement, particularly when personalized

Effect Size Magnification. No Variable is as Important as the One You’re Thinking About—While You’re Thinking About It

Book Chapters

Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining

General Social Agents

Large Language Models as Simulated Economic Agents: What we can learn from Homo Silicus

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

Automated Social Science: Language Models as Scientist and Subjects

Prompt Adaptation as a Dynamic Complement in Generative AI Systems

A national megastudy shows that email nudges to elementary school teachers boost student math achievement, particularly when personalized

Effect Size Magnification. No Variable is as Important as the One You’re Thinking About—While You’re Thinking About It

Refereed Conference Proceedings

Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining

General Social Agents

Large Language Models as Simulated Economic Agents: What we can learn from Homo Silicus

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

Automated Social Science: Language Models as Scientist and Subjects

Prompt Adaptation as a Dynamic Complement in Generative AI Systems

A national megastudy shows that email nudges to elementary school teachers boost student math achievement, particularly when personalized

Effect Size Magnification. No Variable is as Important as the One You’re Thinking About—While You’re Thinking About It