Kangning Wang 王康宁
Simons Institute, UC Berkeley
I am a Research Fellow in the program "Data-Driven Decision Processes" at the Simons Institute for the Theory of Computing, UC Berkeley. My research primarily lies in computational economics. Starting Jan 2023, I will be a Motwani Postdoctoral Fellow at the theory group at Stanford University.
I recently obtained 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.
Here is my CV.
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, Market Design, and Information Design, especially when the exact optima are infeasible due to selfishness of agents, lack of information, computational hardness, etc.
Email: knwang at cs.duke.edu