Scholar
Kehang Zhu
Google Scholar ID: Q7gA1vAAAAAJ
Harvard University
Citations & Impact
Citations
192
H-index
5
i10-index
2
Publications
10
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Automated Social Science: Language Models as Scientist and Subjects' (Reject and Resubmit at the Quarterly Journal of Economics), 'Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation', 'Strategic Tradeoffs Between Human and AI Agents in Bargaining Games'. Awards: 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).
Research Experience
- Interned at Google DeepMind, working with Crystal Qian, Nithum Thain, and James Wexler; used quantum field theory to model correlated dynamics inside a class of material (quantum spin ice) at MIT; conducted large-scale human-subject studies on mental models of people making sense of visualizations with Prof. Hanspeter Pfister at Harvard.
Education
- PhD Candidate at Harvard University, jointly advised by Prof. John Horton from MIT Sloan’s IT group and Prof. David Parkes from Harvard’s EconCS group. Worked under Nobel Laureate in Physics Prof. Frank Wilczek at MIT.
Background
- Research interests include AI agents as proxies for human decision-making and how individuals collaborate with these agents in economic contexts. Recent work explores the capabilities, benefits, and trade-offs of deploying large language models (LLMs) as autonomous agents.
Miscellany
- Enjoys photography, nature, skiing, and hiking.
