About
Hello there! I’m Kehang.
I’m a fourth year Ph.D. candidate at Harvard University. I’ve been jointly advised by Prof. John Horton from MIT Sloan’s IT group and Prof. David Parkes from Harvard’s EconCS group. I am currently supported by Google DeepMind Seed Fund.
My Research
The central problem I aim to address is how to make mechanism design more applicable in real-world scenarios. Many theoretically optimal mechanisms are seldom applied in practice due to their complexity.
My work focuses on using Large Language Models (LLMs) as Proxies for Human behaviors in traditional lab experiments. People can express their intentions in natural language, and an LLM agent will act as their proxy within the mechanism.
Selected works:
Automated Social Science: Language Models as Scientist and Subjects
With John Horton and Benjamin Manning. Slide
Selected Media: Marginal revolution, AI Breakfast, LLM in Science, The Future of Being Human, One Useful Thing, AI in Education
Learning from Synthetic Laboratory: Language Models as Auction Participants
- With Anand Shah, Jeffery Wang, Arif Kerem Dayi, Yanchen Jiang, John Horton and David Parkes
- Accepted in NeurIPS 2024 Machine Behavior Workshop and Conference of Economics and Computation 2024 as Poster
LLM-Powered Preference Elicitation in Combinatorial Assignment
- Submitted to ICML 2025
- With Ermis Soumalias, Yanchen Jiang, Michael Curry, Sven Seuken, David C. Parkes
Recently, I was selected as the Introduction to Technical AI Safety Fellow with the AI Safety Student Team
My Journey So Far
Before joining Harvard, I was very lucky, undeservedly so, to be host by Nobel Laureate in Physics Prof. Frank Wilczek in MIT. I was working on using Quantum field theory to model correlated dynamics inside a class of material (quantum spin ice) News.
My research interests turned to human and society after an enriching collaboration with Prof. Hanspeter Pfister from Harvard Viusal Computing Group. I ran large-scale human-subject studies to investigate the mental models of people making sense of visualizations CHI 24’. Reading Between the Pixels: Investigating the Barriers to Visualization Literacy(/files/reading-between-pixels.pdf)
A Pinch of Extra
When I’m not geeking out over research, you can find me capturing the world through my camera lens 📸, embracing the beauty of nature 🌲, hitting the ski slopes 🎿, or trekking through scenic trails 🥾.
Selected Honors
- Introduction to Technical AI Safety Fellowship, 2024
- Purcell Fellowship (Harvard), 2021
- Guo Moruo Scholarship (Highest honor for USTC undergrad students), 2020
- Yan Jici Scholarship (Highest honor for Physics department undergrad students), 2020