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)[1] 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 |
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.[1] He previously led the Advisory and Research function in Morgan Stanley's Artificial Intelligence Center of Excellence team,[2] and is currently an Amazon Scholar within Amazon Web Services.[3]