About
Hello there! I’m Kehang.
I’m a final 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 had the pleasure to intern in Google DeepMind and worked with Crystal Qian, Nithum Thain and James Wexler.
I study AI agents as proxies for human decision-making, as well as how individuals collaborate with these agents in economic contexts. My recent work explores the capabilities, benefits, and trade-offs of deploying large language models (LLMs) as autonomous agents by developing innovative AI tools and conducting large-scale social economics experiments.
My Research
Automated Social Science: Language Models as Scientist and Subjects
With Benjamin Manning* and John Horton .
Reject and Resubmit at the Quarterly Journal of Economics.
Selected Media: Marginal revolution, The Future of Being Human, One Useful Thing,
Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation
Intern work in Google DeepMind, with Nithum Thain, Vivian Tsai, James Wexler, Crystal Qian
Strategic Tradeoffs Between Human and AI Agents in Bargaining Games
With Crystal Qian*, John Horton, Benjamin S Manning, Vivian Tsai, James Wexler, Nithum Thain
Dataset available in Google DeepMind Research Hub
Learning from Synthetic Laboratory: Language Models as Auction Participants
With Anand Shah*, Jeffery Wang, Arif K. Dayi, Yanchen Jiang, John Horton and David Parkes
NeurIPS 2024 (Workshop), EC 2024 (Poster)
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
Recently, I was selected as the Introduction to Technical AI Safety Fellow with the AI Safety Student Team
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
- Google DeepMind Seed Fund, 2024
- Introduction to Technical AI Safety Fellowship, 2023
- 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
