Stuart J. Russell

Stuart J. Russell
Born	1962 (age 62–63) Portsmouth, England
Nationality	English American
Fields	Computer Science
Institutions	University of California, Berkeley
Alma mater	University of Oxford Stanford University
Thesis	Analogical and Inductive Reasoning (Artificial Intelligence, Metaphor, Logic Programming) (1987)
Doctoral advisor	Michael Genesereth
Notable awards	IJCAI Computers and Thought Award Blaise Pascal Chair

Stuart Jonathan Russell (born 1962) is a computer scientist known for his contributions to artificial intelligence.

Stuart Russell was born in Portsmouth, England. He received his Bachelor of Arts degree with first-class honours in Physics from Wadham College, Oxford in 1982, and his Ph.D. in Computer Science from Stanford University in 1986. He then joined the faculty of the University of California, Berkeley, where he is currently Professor of Computer Science. He also holds an appointment as Adjunct Professor of Neurological Surgery at the University of California, San Francisco, where he pursues research in computational physiology and intensive-care unit monitoring.

Stuart Russell was co-winner, in 1995, of the IJCAI Computers and Thought Award, the premier international award in artificial intelligence for researchers under 35. In 2003 he was inducted as a Fellow of the Association for Computing Machinery and in 2011 he became a Fellow of the American Association for the Advancement of Science. In 2005 he was awarded the ACM Karl V. Karlstrom Outstanding Educator Award. In 2012, he was appointed to the Blaise Pascal Chair in Paris, awarded to "internationally acclaimed foreign scientists in all disciplines," as well as the senior Chaire d'excellence of France's Agence Nationale de la Recherche. Along with Peter Norvig, he is the author of "Artificial Intelligence: A Modern Approach", a textbook used by over 1300 universities in 116 countries. He is on the Scientific Advisory Board for the Future of Life Institute and the Advisory Board of the Centre for the Study of Existential Risk.