Yiding Feng 冯逸丁

I am an assistant professor of Industrial Engineering and Decision Analytics at the Hong Kong University of Science and Technology (HKUST) since July 2024. My current research focuses on developing algorithms and policies in online marketplaces. I have primarily addressed problems utilizing methodologies from online algorithms, approximation algorithms, mechanism design, and information design.

Previously, I received my BS degree from ACM Honors Class at Shanghai Jiao Tong University and my Ph.D. from the Department of Computer Science, Northwestern University in 2021, where my advisor was Jason D. Hartline. I worked as a postdoctoral researcher at Microsoft Research New England from 2021 to 2023, where I was a member of the economics and computation group. I worked as a principal researcher at the University of Chicago Booth School of Business from 2023 to 2024, working with Rad Niazadeh and Vahideh Manshadi.  I have also spent the spring to fall of 2019 at Stanford MS&E, working with Amin Saberi.

I'm looking for outstanding students to work with me at HKUST. Prospective Ph.D. students with a solid mathematics or theoretical computer science background are highly welcome.