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  3. Michael Chang

Michael Chang

Graduate Student,
UC Berkeley
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Michael Chang is a second year PhD student advised by Sergey Levine and Tom Griffiths. His research interests center around artificial intelligence, machine learning, and cognitive science.

Program Visits

Theory of Reinforcement Learning, Fall 2020, Visiting Graduate Student
Probability, Geometry, and Computation in High Dimensions, Fall 2020, Visiting Graduate Student
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The Simons Institute for the Theory of Computing is the world's leading venue for collaborative research in theoretical computer science.

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Main navigation

  • Home
  • Programs & Events
    • Research Programs
    • Workshops & Symposia
    • Public Lectures
    • Research Pods
    • Internal Program Activities
    • Algorithms, Society, and the Law
  • People
    • Scientific Leadership
    • Staff
    • Current Long-Term Visitors
    • Research Fellows
    • Postdoctoral Researchers
    • Scientific Advisory Board
    • Governance Board
    • Industry Advisory Council
    • Affiliated Faculty
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    • Law and Society Fellows
  • Participate
    • Apply to Participate
    • Plan Your Visit
    • Accessibility
    • Location & Directions
    • Postdoctoral Research Fellowships
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    • Science Communicator in Residence Program
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    • Breakthroughs Workshops and Goldwasser Exploratory Workshops
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    • Annual Fund
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    • Industrial Partnerships
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