About
Kangning Wang is an Assistant Professor of Computer Science at Rutgers University (New Brunswick). He is affiliated with the EconCS group and the CS theory group. His research focuses on the intersection of Computer Science, Economics, and Operations Research, with expertise in Mechanism Design, Social Choice, Information Design, Market Design, and Algorithmic Fairness.
Education:
- Ph.D. in Computer Science, Duke University (advised by Kamesh Munagala)
- Bachelor's degree from Yao Class, Tsinghua University
Professional Experience:
- Postdoctoral researcher at Stanford University (with Moses Charikar and Aviad Rubinstein)
- Visiting scholar at the Simons Institute for the Theory of Computing (UC Berkeley)
- Research internships at Google Research (hosted by Jieming Mao, Renato Paes Leme, and Aranyak Mehta)
Awards & Recognition:
- ACM SIGecom Doctoral Dissertation Award Honorable Mention
- Duke CS Best Dissertation Award
- Best Paper Awards at SODA 2024 and WINE 2018
Labs/Teams: Active member of the EconCS and CS theory research groups at Rutgers.
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