Ke Wu

Carnegie Mellon University, Advisor: Elaine Shi

Ke Wu is a fourth-year Ph.D. student in the Computer Science Department at Carnegie Mellon University, advised by Elaine Shi.

Ke’s research lies in the intersection of cryptography, game theory, and data privacy. Her work specifically focuses on designing decentralized mechanisms with strong security guarantee and incentive compatibility. She also works on designing cryptographic primitives that provide privacy and robustness in federated learning. 

Before Ke started her Ph.D., she received her master’s degree in Computer Science from Johns Hopkins University, and bachelor’s degree in Mathematics from Fudan University.