Women in Data Science (WiDS) Conference 2018
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Fei-Fei Li
Associate Professor, Computer Science
Stanford University

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Dr. Fei-Fei Li is an Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. Her research areas are in machine learning, computer vision and cognitive and computational neuroscience, with an emphasis on Big Data analysis. Dr. Fei-Fei Li has published more than 100 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, IJCV, IEEE-PAMI, etc. She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006).
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Fei-Fei obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005.   Dr. Li was s a speaker at the TED2015 main conference, a recipient of the 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship and a number of Google Research awards. Work from Dr. Li's lab have been featured in a variety of popular press magazines and newspapers including New York Times, Science, Wired Magazine, and New Scientists.
 
 
 

 
  • About
    • Datathon >
      • Datathon Details
      • WiDS Datathon FAQ
    • Conference Committee
    • Sponsors
    • Contact
    • FAQs
    • WiDS 2017 >
      • Videos
      • Schedule
      • Speakers
      • WiDS 2017 Locations
      • WiDS 2017 Ambassadors
    • WiDS 2015 >
      • About
      • Videos
      • Schedule
      • Speakers
      • FAQ
  • Register
  • Participate
  • Schedule
  • Livestream
    • Facebook Live
    • Videos
  • Speakers
  • Ambassadors
  • News
    • WiDS Press Release
    • Datathon Press Release
    • Datathon Winners Press Release
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