About me
Hi, I am a third-year Ph.D. student in the Department of Statistics & Data Science at University of California, Los Angeles (UCLA). I am also a member in the Lab for Statistics, Computing, Algorithms, Learning, and Economics (SCALE), supervised by my wonderful advisor Prof. Xiaowu Dai.
Prior to the Ph.D. program, I received two Bachelors of Science degrees respectively in Probability & Statistics and Management Science at Univeristy of California, San Diego (UCSD), along with a Master of Arts degree in Statistics at Columbia Univeristy in the City of New York (Columbia) fortunately advised by Prof. Michael E. Sobel.
My research interests are in the interdisciplinarity of Machine Learning and Economics. I am currently focused on refining and developing mechanisms tailored to the economy of machine learning-related products, such as data pricing and trading. I am also passionate about the opposite direction, which is to integrate economic concepts into machine learning model design.
My first name is pronounced as yuhng-chee.
Recent Research Endeavors
- Machine learning data market design
News & Awards
- Division of Graduate Education (DGE) Block Grant, UCLA, 2023
- 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