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Michael Kearns (computer scientist)

Michael Kearns
Born California
Residence Philadelphia, PA
Institutions University of Pennsylvania (2002 - )
AT&T Bell Labs(1991 - 2001)
Alma mater University of California at Berkeley (BS, 1985)
Harvard University (PhD, 1989)
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)
Notable students John Langford (postdoctoral visitor)
Notable awards ACM Fellow (2014)
Website
www.cis.upenn.edu/~mkearns/

Michael 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.

Kearns was born into an academic family, where his father David R Kearns is Professor Emeritus at University of California, San Diego in chemistry, who won Guggenheim Fellowship in 1969, and his uncle Thomas R. Kearns is Professor Emeritus at Amherst College in Philosophy and Law, Jurisprudence, and Social Thought. His paternal grandfather Clyde W. Kearns was a pioneer in insecticide toxicology and was a professor at University of Illinois at Urbana–Champaign in Entomology, and his maternal grandfather Chen Shou-Yi (1899-1978) was a professor at Pomona College in history and literature, who was born in Canton (Guangzhou, China) into a family noted for their scholarship and educational leadership. In the growth and development of Asian Studies on the West Coast, the Claremont Colleges and Professor Chen occupy a leading place.


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