Tom Mitchell

SCS Founders University Professor

Machine Learning

  • SCS Founders University Professor
    Machine Learning
  • (412) 268-2611 (Work)
  • Carnegie Mellon University, Machine Learning Department, 5000 Forbes Avenue, Pittsburgh, PA, 15213, United States

BIO

Tom M. Mitchell is the E. Fredkin University Professor at Carnegie Mellon University, where he founded the world's first Machine Learning Department. Mitchell's research lies in machine learning, artificial intelligence, and cognitive neuroscience. His current research includes developing machine learning approaches to natural language understanding by computers, as well as brain imaging studies of natural language understanding by humans.

Mitchell is a member of the U.S. National Academy of Engineering, the American Association of Arts and Sciences, and is Past President of the Association for the Advancement of Artificial Intelligence. In 2015 he was awarded an Honorary Doctor of Laws Degree from Dalhousie University for his contributions to machine learning and cognitive neuroscience, and in 2017 he received the 10-Year Outstanding Research Contributions Award from the Brain Informatics Conference for his research studying language processing in the human brain.

ACADEMIC POSITIONS

  • Interim Dean
    Carnegie Mellon University, Pittsburgh, United States2018 - 2019
  • Founders University Professor
    Carnegie Mellon University, USA2019 - present
  • University Professor
    Carnegie Mellon University, Pittsburgh, United States2009 - present
  • Department Head
    Carnegie Mellon University, Machine Learning Department, Pittsburgh, United States2006 - 2016
  • E. Fredkin Professor
    Carnegie Mellon University, School of Computer Science, Pittsburgh, United States1999 - 2018
  • Professor
    Carnegie Mellon University, Computer Science, Robotics, and Language Technologies, Pittsburgh, United States1986 - present
  • Assistant/Associate Professor
    Rutgers University, Department of Computer Science, New Brunswick, United States1978 - 1986

NON-ACADEMIC POSITIONS

  • Chief AI Scientist
    Squirrel AI2018 - present

DEGREES

  • Ph.D., Electrical Engineering, Computer Science minor
    Stanford University, Stanford, United States1 Apr 1979
  • M.S., Electrical Engineering
    Stanford University, Stanford, United States1975
  • S.B., Electrical Engineering
    Massachusetts Institute of Technology, Cambridge, United States1 Jun 1973

CAMPUS

  • Pittsburgh

SUSTAINABLE DEVELOPMENT GOALS

  • 3 Good Health and Well Being
  • 4 Quality Education
  • 5 Gender Equality

TAGS