Michael Kearns is a Professor and National Center Chair in the Department of Computer and Information Sciences at the University of Pennsylvania, with secondary appointments in the departments of Economics, Statistics, and Operations, Information and Decisions of the Wharton School. He is the Founding Director of Penn’s Warren Center for Network and Data Sciences, as well as the Penn Program in Networked and Social Systems Engineering. His research includes topics in machine learning, algorithmic game theory, computational social science, and quantitative finance and algorithmic trading.

Mr. Kearns spent a decade at AT&T Bell Labs, where he was the Head of the AI department, which conducted a range of systems and foundational AI and machine learning research. He has also consulted extensively in the technology and finance industries.

Mr. Kearns studied math and computer science at UC Berkeley, and completed his Ph.D. in computer science at Harvard University in 1989. He is an elected Fellow of the American Academy of Arts and Sciences, the Association for Computing Machinery, the Association for the Advancement of Artificial Intelligence, and the Society for the Advancement of Economic Theory.