Kangning Wang  王康宁

Motwani Postdoctoral Fellow

Stanford University

knwang [at] stanford.edu

I am on the 2023-2024 academic job market, applying for faculty positions in Computer Science, Operations Research, and Operations Management.

I am a Motwani Postdoctoral Fellow at Stanford Theory Group, 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 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 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.

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.

Research Interests:

I conduct research at the intersection of Computer Science, Economics, and Operations Research, with a focus on Mechanism Design, Social Choice, Information Design, Market Design, and Algorithmic Fairness. My research often develops economic solutions with provable guarantees of approximate optimality, for economic objectives such as revenue, efficiency, and fairness.

Contact Information: