Kangning Wang

Graduate Student, Duke University

Kangning Wang is a final-year PhD student at Duke University (as of Spring '22), advised by Kamesh Munagala. He works in the intersection of Computer Science and Economics. He is 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. His work has been recognized by Best Paper Award at WINE '18 and Best Preliminary Exam Award by Duke CS.

Program Visits

Data-Driven Decision Processes, Fall 2022, Research Fellow