Kangning Wang 王康宁

Ph.D. Student

Department of Computer Science, Duke University

I am a fifth-year Ph.D. student in Computer Science at Duke University, where I am fortunate to be advised by Kamesh Munagala. My research primarily lies in computational economics. In Summer 2021, I was a research intern at Google Research Mountain View, working closely with Guru Guruganesh, Aranyak Mehta and Di Wang. In Summer 2020, I was a research intern at Google Research NYC, hosted by Jieming Mao and Renato Paes Leme. Prior to joining Duke, I received my bachelor's degree at Yao Class, Tsinghua University.

Here is my CV.

News: During Fall 2022, I will be a Research Fellow at the Simons Institute to participate in the program "Data-Driven Decision Processes". Starting Jan 2023, I will be a Motwani Postdoctoral Fellow at the theory group at Stanford University.

Research Interests:

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.

Contact Information:

  • Office: D206 Levine Science Research Center, 308 Research Drive, Durham, NC 27708.

  • Email: knwang at cs.duke.edu