Dr. Tom M. Mitchell
E. Fredkin University Professor, Computer Science, Robotics, Language Technologies, and Biomedical Engineering
- S.B., Electrical Engineering, Massachusetts Institute of Technology, 1973
- M.S., Electrical Engineering, Stanford University, 1975
- Ph.D., Electrical Engineering, Computer Science minor, Stanford University, 1979
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.
A pioneer in artificial intelligence and machine learning, Mitchell’s research focuses on statistical learning algorithms for discovering how the human brain represents information and for enabling computers to understand the meaning of what humans say and write. His work with colleagues in the Psychology Department produced the first computational model to predict brain activation patterns associated with virtually any concrete noun, work that has since been extended to other word types, word sequences and emotions. His Never Ending Language Learner is a computer program that searches through web pages 24/7 as it teaches itself to read.
Research Interests: computer science; machine learning; artificial intelligence; cognitive neuroscience; societal impacts of technology
Awards and Recognition
President’s Medal, Stevens Institute of Technology, 2018
- Brain Informatics Conference, 10-Year Outstanding Research Contributions Award, 2017
- Elected to American Academy of Arts and Sciences, 2016
- Honorary Doctor of Laws degree, Dalhousie University, 2015
- Elected to National Academy of Engineering 2008 Elected Fellow of American Association for the Advancement of Science (AAAS), 2010
- Chair, American Association for the Advancement of Science, Section on Information, Computing, and Communication, 2006-2007
President, Association for the Advancement of Artificial Intelligence (AAAI), 2001-2003