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Fei-Fei Li

Fei-Fei Li

Sequoia Professor of Computer Science / Co-Director of Stanford HAI / CEO & Cofounder of World Labs

CountryUS
EducationPhD, Caltech
Known ForAI, Computer Vision, Deep Learning, Robotics, AI Ethics, ImageNet
Twitter535.5K
LinkedIn90.4K
Artificial IntelligenceRoboticsEntrepreneurship
Twitter Followers
535.5K
LinkedIn Followers
90.4K
ImageNet Impact
Pioneering Dataset
Current Roles
3+ Executive Roles
Search More

About Fei-Fei Li

Fei-Fei Li is a Chinese-born American computer scientist, best known as the inventor of ImageNet and the ImageNet Challenge, a pivotal dataset that fueled the rapid advancement of modern computer vision and deep learning. She is the Sequoia Professor of Computer Science at Stanford University and the Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). She also co-founded the non-profit AI4ALL and is the CEO and Cofounder of World Labs.

Career

World Labs
World Labs

Cofounder, CEO

Jan 2024 - Present
Position

Cofounder, CEO

Stanford University
Stanford University

Sequoia Professor of Computer Science

Jun 2009 - Present
Responsibilities

My students and I are passionate about AI research! We work on: machine learning, deep learning, computer vision, robotics, computational neuroscience, cognitive neuroscience, AI+healthcare. Our website is: http://svl.stanford.edu

Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Stanford Institute for Human-Centered Artificial Intelligence (HAI)

Denning Family Co-Director, Senior Fellow

Oct 2018 - Present
Responsibilities

Stanford University Human-Centered AI Institute (HAI) is an upcoming University-level institute whose mission is to advance AI research, education, policy and practice to benefit humanity. For more information please visit: http://hai.stanford.edu

AI4ALL
AI4ALL

Co-Founder

Mar 2017 - Present
Responsibilities

AI4ALL is a national nonprofit organization dedicated to educate a diverse group of the next generation AI technologists, thinkers and leaders. For more information please visit: http://www.ai-4-all.org

Twitter
Twitter

Member, Board of Directors

May 2020 - Nov 2022
Position

Member, Board of Directors

Google
Google

Chief Scientist of AI/ML; Vice President

Jan 2017 - Oct 2018
Responsibilities

To democratize AI and machine learning for everyone and every business. I lead the AI/ML research and development efforts at Google Cloud. My responsibility includes overseeing Cloud-related AI research, all Google Cloud's AI/ML products and engineering efforts, and university relations. (In the mean time, I'm still on faculty at Stanford University, while being on sabbatical at Google.)

Stanford University, Stanford Artificial Intelligence Lab (SAIL)
Stanford University, Stanford Artificial Intelligence Lab (SAIL)

Director

2014 - Oct 2018
Responsibilities

I work with 20+ faculty and 100+ students in education and research of AI

Princeton University
Princeton University

Assistant Professor

2006 - 2009
Position

Assistant Professor

University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign

Assistant Professor

2005 - 2006
Position

Assistant Professor

Education

Princeton University
Princeton University

BA

Field of Study

BA - Physics

Caltech
Caltech

PhD

Field of Study

PhD - Computer Science

Skills

Core technical, academic, and leadership competencies in the field of Artificial Intelligence and Computer Science.

Technical & Research

Computer Vision

Deep Learning

Machine Learning

AI Ethics

Computational Neuroscience

Robotics

Spatial Intelligence

Leadership & Management

Strategic Planning

Team Management

Product Vision

Business Development

Non-profit Leadership

University Administration

Academic & Communication

Academic Research

Curriculum Development

Public Speaking

Scientific Communication

Fundraising

Domains

Primary

Artificial Intelligence, Computer Science, Higher Education

Secondary

AI Ethics, Healthcare Technology, Entrepreneurship, Cloud Computing

Tags

Personality

Visionary, Pioneering, Educator, Data-Driven, Human-Centered

Focus

AI for Good, Research Excellence, Democratization of AI

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