Kangning Wang 王康宁
Motwani Postdoctoral Fellow
knwang [at] stanford.edu
I am a Motwani Postdoctoral Fellow at Stanford Theory Group, currently working with Moses Charikar and Aviad Rubinstein.
During Fall 2022, I was a J.P. Morgan Research Fellow in the program "Data-Driven Decision Processes" at the Simons Institute for the Theory of Computing, UC Berkeley. I obtained my Ph.D. in Computer Science from Duke University, where I was fortunate to be advised by Kamesh Munagala. My dissertation received an Honorable Mention for the 2022 ACM SIGecom Doctoral Dissertation Award and a Duke CS Best Dissertation Award. I interned twice at Google Research, hosted by Jieming Mao and Renato Paes Leme in Summer 2020 and Aranyak Mehta in Summer 2021, and have worked with many other wonderful people there. I received my bachelor's degree from Yao Class, Tsinghua University.
My research lies in the intersection of Computer Science and Economics. I am particularly interested in using mathematical or algorithmic techniques to provide approximately efficient or fair economic solutions in fields including Social Choice, Mechanism Design, Information Design, and Market Design, especially when the exact optima are infeasible due to selfishness of agents, lack of information, computational hardness, etc.
Office: 192 Gates Building, 353 Jane Stanford Way, Stanford, CA 94305.
Email: knwang [at] stanford.edu