Michael Kearns

Professor and National Science Chair

Department of Computer and Information Science

Univ. of Pennsylvania

Since 22, Michael has been a professor in the computer and information science department at the University of Pennsylvania, where he holds the National Center chair. Michael has secondary appointments in the department of economics, and in the departments of statistics and operations, information and decisions (OID) in the Wharton School. He is the founding director of the Warren Center for Network and Data Sciences. He is the faculty founder and former director of Penn engineering’s networked and social systems engineering (NETS) program, and a faculty affiliate in Penn’s applied math and computational science graduate program. Until July 26, Michael was the co-director of Penn’s interdisciplinary Institute for Research in cognitive science.

Beginning in June 22, Michael also has a role at  Amazon as part of their scholars program, focusing on algorithmic fairness, privacy, machine learning and related topics within Amazon Web Services.

As of August 218, he is affiliated with the Santa Fe Institute as an external faculty member.

Michael has worked extensively in quantitative and algorithmic trading on Wall Street (including at Lehman Brothers, Bank of America, SAC Capital and Morgan Stanley.  He often serves as an advisor to technology companies and venture capital firms. He is also involved in the seed-stage fund Founder Collective and occasionally invests in early-stage technology startups. He is a member of the scientific advisory board of the Alan Turing Institute, and of the market surveillance advisory group of FINRA. Michael occasionally serves as an expert witness or consultant on technology-related legal and regulatory cases.

Michael is an elected member/fellow of the National Academy of Sciences, 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.