Stanford University
 
Fei-Fei Li

Fei-Fei Li

Affiliated Faculty

Dr. 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 January 2017 to September 2018, Fei-Fei was vice president at Google and served as chief scientist of AI/ML at Google Cloud.

Fei-Fei’s current research interests include cognitively inspired AI, machine learning, deep learning, computer vision, and AI+healthcare—particularly ambient intelligent systems for healthcare delivery. Her past research focused on cognitive and computational neuroscience.

She 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. She is a national leading voice for advocating diversity in STEM and AI, and is co-founder and chairperson of the national non-profit AI4ALL, which aims to increase inclusion and diversity in AI education.


“AI won’t replace managers, but managers who use AI will replace those who don’t.”

Fei-Fei Li

Fei-Fei Li


Fei-Fei has published more than 200 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, New England Journal of Medicine, and Nature Digital Medicine. 

Fei-Fei received 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. She joined Stanford in 2009 as an assistant professor. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006).

Affiliations

Fireside Chat with Gina Raimondo: AI & The Future of Work Conference

HAI co-director Fei-Fei Li talks with Rhode Island Governor Gina Raimondo at the AI & The Future of Work Conference, October 2020.

Stanford University