Percy Liang

Associate Professor of Computer Science and Statistics at Stanford Graduate School of Business

Stanford Graduate School of Business

Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).

Education/Experience

  • 2012: post-doc at Google
  • 2011: Ph.D. from Berkeley (advisors: Michael Jordan and Dan Klein)
  • 2005: MEng from MIT (advisor: Michael Collins)
  • 2004: B.S. from MIT

Honors

  • Presidential Early Career Award for Scientists and Engineers (2019)
  • IJCAI Computers and Thought Award (2016)
  • NSF CAREER Award (2016)
  • Sloan Research Fellowship (2015)
  • Microsoft Research Faculty Fellowship (2014)
  • Graduate fellowships: NSF, NDSEG, GAANN, Siebel Scholar
  • Programming contests: 2nd place at 2002 ACM ICPC World Finals, silver medalist at IOI 2000
  • Music competitions (piano): Winner of KDFC Classical Star Search (2008, over-21 division), MIT Concerto Competition (2004), Phoenix Young Musicians Competition (2000)

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Courses Taught

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