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Moontae Lee

Fundamental Research Laborotory at LG AI Research
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Moontae Lee is a seasoned AI researcher and professor with 2 years 7 months of experience at LG AI Research, 5 years 11 months at University of Illinois at Chicago, and 1 year 7 months at Microsoft, holding a PhD in Machine Learning and Natural Language Processing from Cornell University.
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Chicago, Illinois, United States, US
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Moontae Lee is a renowned expert in Machine Learning and Natural Language Processing, with a strong academic background in Computer Science. As a PhD holder from Cornell University (2017), Lee has developed expertise in tensor-based reasoning and deep learning architectures for natural language processing. He has also taught undergraduate and graduate algorithm courses at Stanford University (2010-2012) and has held research positions at Microsoft (2015-2019, 2019-2021) and LG AI Research (2021-Present).

Experience

  • LG AI Research
    • Seoul, Seoul, South Korea
    • Fundamental Research Laborotory
      • Dec 2021 - Present
      • Seoul, Seoul, South Korea

  • University of Illinois at Chicago
    • Assistant Professor
      • Aug 2018 - Present

      Information and Decision Sciences

  • Microsoft
    • Redmond, Washington, United States
    • Consulting Professor
      • Dec 2019 - Jun 2021
      • Redmond, Washington, United States

      Natural Lanuage Understanding

  • Microsoft
    • Redmond, Washington, United States
    • Visiting Scholar
      • Jan 2019 - Aug 2019
      • Redmond, Washington, United States

      Invited to the Deep Learning Group

  • Cornell University
    • Ithaca, NY
    • Research Assistant
      • Sep 2012 - Aug 2018
      • Ithaca, NY

      PhD candidate

  • Microsoft
    • Redmond, WA
    • Research Intern
      • Jun 2016 - Aug 2016
      • Redmond, WA

      Research new deep-learning architectures for natural language processing.

  • Microsoft
    • Redmond, WA
    • Research Intern
      • Jun 2015 - Aug 2015
      • Redmond, WA

      Research tensor-based reasoning in a vector space.

  • Neustar, Inc.
    • Mountain View, CA
    • Research Intern
      • Apr 2012 - Aug 2012
      • Mountain View, CA

      Research a prediction system for the IP geo-location project.

  • Stanford University
    • Stanford, CA
    • Teaching Assistant
      • Jan 2010 - Mar 2012
      • Stanford, CA

      Teach undergraduate and graduate algorithm courses.

Education

  • 2012 - 2017
    Cornell University
    Doctor of Philosophy (Ph.D.), Computer Science
  • 2009 - 2012
    Stanford University
    Master of Science (M.S.), Computer Science
  • 2001 - 2005
    Sogang University
    Bachelor of Science (B.S.), Computer Science

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