Fei-Fei Li - AI Scientist | Co-Director, Stanford Human-Centered AI Institute

About Fei-Fei Li

Fei-Fei Li is a distinguished Technology & Digital leader based in Stanford, California, United States.Fei-Fei Li is a pioneering computer scientist and global thought leader in artificial intelligence. She is a Professor of Computer Science at Stanford University and Co-Director of the Stanford Human-Centered AI Institute (HAI). She is best known for leading the creation of ImageNet (launched in 2009), a large-scale visual database that catalyzed breakthroughs in deep learning and computer vision. Her research has significantly advanced computer vision, cognitive neuroscience-inspired AI systems, and human-centered AI frameworks. She served as Chief Scientist of AI/ML at Google Cloud from 2017 to 2018. She previously directed the Stanford Artificial Intelligence Laboratory (SAIL).

Technology & Digital Expert in Stanford, California

As a leading Technology & Digital professional in Stanford, California, United States,Fei-Fei Li has made significant contributions to the field.

Achievements and Awards

• Member, National Academy of Engineering (NAE) - 2018: Elected to the U.S. National Academy of Engineering for contributions to image databases and visual recognition research.
• AI100 Standing Committee Member - 2016: Founding member of Stanford’s One Hundred Year Study on Artificial Intelligence (AI100).
• TIME AI 100 - 2023: Named among TIME’s most influential people in artificial intelligence.
• IEEE Fellow - 2018: Elevated to IEEE Fellow for contributions to computer vision and machine learning.
• ACM Fellow - 2022: Named ACM Fellow for foundational contributions to AI and computer vision.

Professional Experience

• Co-Director at Stanford Human-Centered AI Institute (HAI) (2019–Present): Leads interdisciplinary research and policy initiatives promoting human-centered artificial intelligence.
• Former Director at Stanford Artificial Intelligence Laboratory (SAIL) (2013–2018): Directed Stanford’s flagship AI research laboratory advancing machine learning and computer vision.
• Chief Scientist, AI/ML at Google Cloud (2017–2018): Led AI and machine learning strategy and research integration at Google Cloud.

Publications and Research

• ImageNet - Stanford University, 2009
• The One Hundred Year Study on Artificial Intelligence (AI100) - Stanford University, 2016

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