Fei-Fei Li

Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and co-director of Stanford’s Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018. During her sabbatical from Stanford from 2017-2018, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. She joined Stanford in 2009 as an assistant professor and was on faculty at Princeton University (2007-2009), and University of Illinois Urbana-Champaign (2005-2006).

Dr. Li 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 co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education. Dr. Fei-Fei Li’s main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She has published nearly 200 scientific articles in top-tier journals and conferences. Dr. Li is a Fellow of ACM, a recipient of the 2019 IEEE PAMI Longuet-Higgins Prize, 2019 National Geographic Society Further Award, 2017 Athena Award for Academic Leadership, IAPR 2016 J.K. Aggarwal Prize, the 2016 IEEE PAMI Mark Everingham Award, 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, among others. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech).

Works by Fei-Fei Li:

Where Did ImageNet Come From?

November 2019

In September 2019 the ImageNet creator Fei-Fei Li gave a talk at The Photographers' Gallery talking through the events and key people that led to the creation of visual datasets.