Caltech
Justin JohnsonCo-founder · World LabsResearcher↗
Researcher · Academic · Founder · Executive
Fei-Fei Li
World LabsCo-founder and CEO
Stanford UniversityProfessor
Stanford Institute for Human-Centered AIFounder
🇨🇳🇺🇸 Chinese-AmericanBorn 1976
Often called the “godmother of AI,” Li conceived ImageNet and led the effort to build its vast collection of labelled images.[1] The dataset and its recognition challenge became foundations of modern computer vision, helping demonstrate that deep neural networks could outperform earlier approaches.[2]
Career & education
Current rolesWorld Labs2023-presentCo-founder and CEOStanford University2009-presentProfessorStanford Institute for Human-Centered AI2019-presentFounder
World Labs2023-presentStanford University2009-presentStanford Institute for Human-Centered AI2019-presentPreviously
Google2017-2018VP, Chief Scientist of AI/ML
Princeton University2006-2009Assistant Professor
Google2017-2018Princeton University2006-2009Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations382,740As of Nov 1, '26
citations+6,678Since last snapshot, Oct 1, '26
Updates 2
M&AAMD agrees to acquire World Labs
LaunchThe team and investors behind Etched
AMD has agreed to acquire Fei-Fei Li's spatial-intelligence AI lab in an all-stock transaction valued at about $8.2 billion.
September 28, 2026LaunchThe team and investors behind EtchedEtched came out of stealth with frontier inference clusters, but the more revealing map is the network behind it: young founders, veteran chip operators, frontier-AI advisers, and a trading-heavy investor base.
June 30, 2026Selected contributions
ImageNet: A Large-Scale Hierarchical Image Database
A large labeled image collection for training and testing object-recognition systems.
ImageNet Large Scale Visual Recognition Challenge
With Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang and others ·Documented ImageNet's shared tests and progress in recognizing and locating objects in images.
Large-scale Video Classification with Convolutional Neural Networks
Tested neural networks for classifying sports videos at the scale of a million YouTube videos.
References
- Princeton — The Godmother of AI and the ImageNet projectalumni.princeton.edu
Often called the “godmother of AI,” Li conceived ImageNet and led the effort to build its vast collection of labelled images.
- Stanford HAI — ImageNet’s foundational contributionhai.stanford.edu
The dataset and its recognition challenge became foundations of modern computer vision, helping demonstrate that deep neural networks could outperform earlier approaches.
- World Labs — founders and spatial intelligenceworldlabs.ai
She later co-founded World Labs to advance spatial intelligence and world models: AI that can understand, generate and reason about three-dimensional environments.
- World Labs — Marble and explorable 3D worldsworldlabs.ai
Its Marble system turns images or text into explorable 3D worlds.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
