Michael Kearns (computer scientist)

Michael Justin Kearns
Born
California
Alma materUniversity of California at Berkeley (BS, 1985)
Harvard University (PhD, 1989)
AwardsMember 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
InstitutionsUniversity of Pennsylvania (2002–)
AT&T Bell Labs (1991–2001)
ThesisThe Computational Complexity of Machine Learning (1989)
Doctoral advisorLeslie Valiant
Other academic advisorsRonald Rivest (postdoctoral, MIT)
Richard M. Karp (postdoctoral, UC Berkeley)
Doctoral studentsJennifer Wortman Vaughan
Other notable studentsJohn Langford (postdoctoral visitor)
Websitewww.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.[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]

  1. ^ a b MICHAEL KEARNS (2014). "ACM Fellows 2014". acm.org. ACM. Retrieved January 10, 2015.
  2. ^ "Morgan Stanley Hires Ex-SAC Capital Artificial Intelligence Expert". Bloomberg News. 26 June 2018.
  3. ^ "Amazon Scholar: Michael Kearns". 26 June 2020.