Michael Kearns (computer scientist)

Michael Justin Kearns
Michael Justin Kearns
Born	California
Alma mater	University of California at Berkeley (BS, 1985) ; Harvard University (PhD, 1989)
Awards	Member of U.S. National Academy of Sciences (2021) ; Fellow of the American Academy of Arts and Sciences (2012) ; ACM Fellow (2014) ; Fellow of the Association for the Advancement of Artificial Intelligence (2003)
	Scientific career
Institutions	University of Pennsylvania (2002–); AT&T Bell Labs (1991–2001)
Thesis	The Computational Complexity of Machine Learning (1989)
Doctoral advisor	Leslie Valiant
Other academic advisors	Ronald Rivest (postdoctoral, MIT) ; Richard M. Karp (postdoctoral, UC Berkeley)
Doctoral students	Jennifer Wortman Vaughan
Other notable students	John Langford (postdoctoral visitor)
Website	www.cis.upenn.edu/~mkearns/

Michael Justin Kearns is an American computer scientist, professor and National Center Chair at the University of Pennsylvania, the founding director of Penn's Singh Program in Networked & Social Systems Engineering (NETS), the founding director of Warren Center for Network and Data Sciences, and also holds secondary appointments in Penn's Wharton School and department of Economics. He is a leading researcher in computational learning theory and algorithmic game theory, and interested in machine learning, artificial intelligence, computational finance, algorithmic trading, computational social science and social networks. He previously led the Advisory and Research function in Morgan Stanley's Artificial Intelligence Center of Excellence team, and is currently an Amazon Scholar within Amazon Web Services.

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