Kangning Wang  王康宁

Motwani Postdoctoral Fellow

Stanford University

knwang [at] stanford.edu

News. I am excited to be joining Rutgers Computer Science in Fall 2024 as an Assistant Professor. If you'd like to work with me (or just to chat), please don't hesitate to reach out! 😁

Research Overview. I conduct research at the intersection of Computer Science, Economics, and Operations Research. I develop economic solutions, especially those with provable guarantees to be (approximately) optimal. My focus areas include Mechanism Design, Social Choice, Information Design, Market Design, and Algorithmic Fairness.

Bio. I am a Motwani Postdoctoral Fellow at Stanford Theory Group, working with Moses Charikar and Aviad Rubinstein. I will be joining the Department of Computer Science at Rutgers University in Fall 2024.

Before my current position, I was a Research Fellow in the program "Data-Driven Decision Processes" at the Simons Institute for the Theory of Computing, UC Berkeley. I earned my Ph.D. in Computer Science from Duke University, where I was fortunate to be advised by Kamesh Munagala. I interned twice at Google Research, hosted by Jieming Mao, Renato Paes Leme, and Aranyak Mehta. I received my bachelor's degree from Yao Class, Tsinghua University.

I have received an ACM SIGecom Doctoral Dissertation Award Honorable Mention, a Duke CS Best Dissertation Award, and Best Paper Awards at SODA 2024 and WINE 2018.