Department of Computer Science and the College
Haifeng Xu’s research lies at the intersection of machine learning, multi-agent systems, and information economics. He aims to design algorithms/systems that can effectively elicit, process, and exploit information, particularly in strategic environments. His recent research interests include, primarily, understanding and realizing the economic value of data, and, secondarily, machine learning under asymmetric access to information in multi-agent setups.
Xu’s research has been recognized by awards that include a Google PhD Fellowship, and has led to more than 55 publications on machine learning and algorithmic economics in such venues as the International Conference on Machine Learning, the Association for Computing Machinery Conference on Economics and Computation, and SIAM Journal on Computing.
Xu received an MMath degree in computational mathematics from the University of Waterloo in Ontario, Canada, and a PhD in computer science from the University of Southern California. He was a postdoctoral fellow at Harvard University’s Center for Research on Computation and Society.