Dr. Fei-Fei Li is the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. Her main research areas are in machine learning, deep learning, computer vision, and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, IJCV, IEEE-PAMI, and more. While maintaining her professorship at Stanford University as an Associate Professor in the Computer Science Department, Fei-Fei is also the Chief Scientist of Google Cloud, AI/ML.
Fei-Fei is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is the co-founder of Stanford’s renowned SAILORS outreach program for high school girls, and was a speaker at the TED 2015 main conference.
Fei-Fei obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her Ph.D. degree in electrical engineering from California Institute of Technology (Caltech) in 2005. 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).
For her work in AI, Fei-Fei was awarded the IAPR J.K. Aggarwal Prize, the 2016 Nvidia Pioneer in AI Award, 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 her lab has been featured in a variety of popular press magazines and newspapers including New York Times, Wall Street Journal, Fortune Magazine, Science, Wired Magazine, MIT Technology Review, Financial Times, and more.