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I am a Quantitative Researcher at Balyasny Asset Management.
I completed my PhD in Operations Research and Financial Engineering at Princeton University, where I was advised by Brandon Stewart and Ronnie Sircar. My research interests include steerable reasoning and generation in large language models, causal inference with text, persuasion, and quantitative social science.
Previously, I completed my MA Hons in Economics and Mathematics at the University of Edinburgh, where I wrote my undergraduate thesis On the Limitations of Cryptocurrencies, examining the incentive compatibility of decentralized ledgers under the supervision of Andrew Clausen. I then completed an MPhil in Economics at Cambridge University, where I wrote my master’s thesis Exploring the Cyclical Predictability of Sector-Specific Premia under the supervision of Mark Salmon.
Between my Master’s and PhD, I worked as an Associate Consultant at the Boston Consulting Group, where I was mentored by former CEO and Global Chair Hans-Paul Bürkner. During my PhD, I interned as a Quantitative Researcher at Balyasny Asset Management and as a Research Scientist at Meta.
Recent Talks
Workshop on Agent Behavior, COLM 2026 · October 2026
Conference on Language Modeling (COLM 2026) · October 2026
Text as Data Conference (TADA), oral presentation · October 2026
Murphy Lab, Harvard University · August 2026
Eternis AI · April 2026
Google DeepMind · April 2026
Princeton Language Initiative · April 2026
Salganik Lab · December 2025
Princeton Data-Driven Social Science · November 2025
