Learning to decide under uncertainty.

I am a Ph.D. candidate in Data Analytics and Decision Science at the Darden School of Business, University of Virginia, advised by Prof. Manel Baucells and Prof. Saša Zorc.

My research develops theory for optimal sequential decision-making under uncertainty — search theory, optimal stopping, Bayesian learning, and multi-armed bandits. A growing focus is mechanism and contract design for the age of AI — how firms should contract on AI use and the cognitive offloading it induces — alongside inference-time computation for large language models and flexible probability modeling with the metalog distribution.

Before my Ph.D., I received an M.A. in Applied Economics from the National University of Singapore and worked as a Product Manager at Tencent and as a Research Associate at CUHK‑Shenzhen.

Working papers & ongoing projects.

Conferences, teaching & service.

Journals: Operations Research, Management Science.