About me
Hi, I am a fourth-year Ph.D. candidate in the Department of Statistics & Data Science at University of California, Los Angeles (UCLA). I am a member of the Lab for Statistics, Computing, Algorithms, Learning, and Economics (SCALE) , advised by Prof. Xiaowu Dai.
Prior to my Ph.D., I earned two Bachelor of Science degrees in Probability & Statistics and Management Science at University of California, San Diego (UCSD), as well as a Master of Arts in Statistics at Columbia University, where I was advised by Prof. Michael E. Sobel.
My research lies at the intersection of Machine Learning and Economics, focusing on:
(1) Market-driven mechanisms that enable intelligent decision-making and
fair resource allocation in digital economies, such as data markets and privacy trading,
giving users control over their data instead of passively surrendering it.
(2) AI systems that reason, adapt, and respond to economic incentives,
ensuring they operate efficiently in environments shaped by human behavior and strategic interactions,
like LLM-powered ads auctions and retrieval-based uncertainty quantification.
My first name is pronounced as Yee-ung-Chee.
Grants
- Division of Graduate Education Award, UCLA, 2023, 2024
- Recipient of the Statistics Department Chair’s List of Academic Achievements, Columbia, 2020
- JSM 2020 Registration Award, Columbia, 2020
- BS magna cum laude in Management Science, UCSD, 2019