Tom Mitchell work email
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Tom Mitchell personal email
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Researcher in Machine Learning, Artificial Intelligence, and Cognitive Neuroscience. I founded the Machine Learning Department at Carnegie Mellon University, and led it as Department Head for its first 10 years. Have done recent research on impact of AI on the future of work. I consult widely for companies who use AI in their products and internal processes.
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Visiting ScholarStanford UniversityPittsburgh, Pa, Us -
University Professor, Carnegie Mellon UniversityCarnegie Mellon University Jan 2005 - PresentPittsburgh, Pa, Us -
Interim Dean, School Of Computer ScienceCarnegie Mellon University Oct 2018 - Sep 2019Pittsburgh, Pa, Us -
Professor, Machine Learning DepartmentCarnegie Mellon University Jul 1986 - Jan 2005Pittsburgh, Pa, UsI joined CMU as a Computer Science Professor in 1986, then founded the Machine Learning Department in 2006, serving as Department Head from 2006 until 2016. -
Advisor And Research FellowMegagon Labs 2015 - PresentMountain View, Ca, Us -
Member Board Of DirectorsLaer Ai 2018 - PresentNew York, New York, Us -
Science BoardSanta Fe Institute 2019 - PresentSanta Fe, Nm, Us -
Science BoardAi2 2013 - PresentSeattle, Wa, Us -
Chief Ai ScientistSquirell Ai Sep 2018 - Feb 2020
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Chief ScientistWhizbang! Labs 2000 - 2001
Tom Mitchell Skills
Tom Mitchell Education Details
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Stanford UniversityArtificial Intelligence -
Massachusetts Institute Of TechnologyElectrical Engineering
Frequently Asked Questions about Tom Mitchell
What company does Tom Mitchell work for?
Tom Mitchell works for Stanford University
What is Tom Mitchell's role at the current company?
Tom Mitchell's current role is Visiting Scholar.
What is Tom Mitchell's email address?
Tom Mitchell's email address is to****@****cmu.edu
What is Tom Mitchell's direct phone number?
Tom Mitchell's direct phone number is (412) 268*****
What schools did Tom Mitchell attend?
Tom Mitchell attended Stanford University, Massachusetts Institute Of Technology.
What skills is Tom Mitchell known for?
Tom Mitchell has skills like Machine Learning, Artificial Intelligence, Cognitive Neuroscience, Algorithms, Computer Science, Data Mining, Natural Language Processing, Text Mining.
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