Massachusetts Institute of Technology
Ph.D. in Information Technology
2022–Present
AI × Human Behavior
Robin Na
I am a PhD candidate in Information Technology at MIT, advised by Abdullah Almaatouq and Michiel Bakker.
I work on AI for safe and effective social decision support. My research involves building multi-agent AI systems for experimental design, literature synthesis, and human behavior simulation, while studying how to prevent collective misalignment.
Education
Seoul National University
B.S. in Physics & B.A. in Knowledge Ecology
Summa cum laude
Korea Presidential Science Scholar
2021
Research
Designing Behavioral Profiles for Language Model Simulation of Out-of-Distribution Human Behavior
Which characteristics of a person help predict their behavior? We build an automated framework that constructs behavioral profiles for AI simulations, selecting the features that best predict collective human behavior in new experimental settings.
Under review at Information Systems Research
Spotlight · NeurIPS 2026 User Simulation Workshop
Collective misalignment in multi-agent AI systems
How does collaboration among AI agents shape their conclusions? We build multi-agent research environments to study how AI scientists collect data, combine evidence, and make predictions and policy recommendations—and when their interactions lead to collective failures.
Misaligned Incentives and Tipping in Language Model Agent Networks
Working Paper
Evaluating scientific evidence
Which scientific findings help us predict behavior in new settings? We build AI systems that synthesize research literature and evaluate whether that evidence improves predictions of behavioral experiments.
Auditing Scientific Literatures with Large Language Models
Working Paper · Presented at the AI for Science Workshop at ICML
The Integration of Explanation and Prediction in Behavioral Science
How can behavioral science explain why people act as they do while also predicting what they will do next? We examine how explanatory and predictive approaches can inform one another.
Current Directions in Psychological Science, 35(3), 2026
See my CV for the full list of papers.
Experiences
Amazon
Applied Scientist Intern
2023, 2024
Carnegie Mellon University
Predoctoral Research Fellow
2021–2022
Santa Fe Institute
Undergraduate Researcher
ASU–Santa Fe Institute Center for Complex Systems
2020
Connect
I always love to interact with and learn from people with diverse perspectives. If there are any interesting research ideas you would like to discuss, please don't hesitate to email me!