Fei Fei Li
About Fei Fei Li
Fei Fei Li is a prominent computer scientist and co-founder of AI4ALL, currently serving as Chairperson of the Board. She holds a BA in Physics from Princeton University and a PhD in Electrical Engineering from Caltech, and has made significant contributions to machine learning and computer vision.
Work at AI4ALL
Fei Fei Li serves as Co-Founder and Chairperson of the Board at AI4ALL, a position she has held since 2017. AI4ALL focuses on increasing diversity and inclusion in artificial intelligence education. Under her leadership, the organization aims to inspire the next generation of AI practitioners and leaders, particularly from underrepresented communities.
Education and Expertise
Fei Fei Li obtained a Bachelor of Arts degree in Physics from Princeton University in 1999, graduating with High Honors. She later earned a PhD in Electrical Engineering from the California Institute of Technology (Caltech) in 2005. Her academic background provides a strong foundation for her expertise in machine learning, deep learning, computer vision, and cognitive and computational neuroscience.
Background
Fei Fei Li has held various academic and industry positions throughout her career. She has been a faculty member at Stanford University since 2009, where she is the inaugural Sequoia Professor in the Computer Science Department. Prior to her tenure at Stanford, she served as an Assistant Professor at Princeton University and the University of Illinois at Urbana-Champaign.
Achievements
Fei Fei Li has published over 200 scientific articles in top-tier journals and conferences, contributing significantly to the fields of artificial intelligence and computer science. She is a Fellow of the Association for Computing Machinery (ACM) and has received numerous awards for her scientific work and leadership. Additionally, she co-directs Stanford’s Human-Centered AI Initiative and the Stanford Vision and Learning Lab.
Current Roles
In addition to her role at AI4ALL, Fei Fei Li serves on the Board of Directors at Twitter since 2020. Her involvement in both academia and industry reflects her commitment to advancing the field of artificial intelligence while promoting ethical practices and diversity in technology.