I am an assistant professor at HKUST IEDA. I study decision evaluation and understanding to improve decision learning.

I was a postdoctoral principal researcher at the University of Chicago Booth School of Business, working with Professor Baris Ata and Professor J. Michael Harrison. I obtained my Ph.D. in the Department of Management Science and Engineering (MS&E) at Stanford University, where I was advised by Professor Jose Blanchet and closely worked with Professor Ramesh Johari. I was a member of the Stanford Operations Research Group. Previously, I obtained a B.A. in Economics and a B.S. in Mathematics and Applied Mathematics both from Peking University in 2017.

My research lies at the interface of operations research, statistics, and machine learning. I am also interested in real-world operational problems arising from online platforms, including A/B tests, recommendation systems, online advertising, AI, etc.

Notice

I will not be accepting new PhD students at HKUST for Fall 2027. However, if you are interested in the Loop Area Institute PhD program or a research assistant (RA) position with me, please feel free to reach out. I particularly seek undergraduate and graduate students who are highly agentic. Specifically, I value researchers who:

• Can independently drive complex projects to completion, effectively leveraging generative AI and modern tools to solve technical roadblocks.
• Exhibit a deep intellectual curiosity, always asking "why" when encountering unexpected phenomena.

You can explore my recent research interests and publications here, and view sample projects from my current students here.

If you are interested in joining the lab, please reach out with your CV and a copy of your transcript.