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Chelsea FinnChelsea Finn

Chelsea Finn

Assistant Professor of Computer Science and Electrical Engineering / Stanford University / Co-Founder / Physical Intelligence

Chelsea Finn is an Assistant Professor of Computer Science and Electrical Engineering at Stanford University, where she directs the IRIS (Intelligence, Robotics, and Interactive Systems) Lab. She is a leading American computer scientist specializing in machine learning, robotics, and reinforcement learning. Finn is also the co-founder of Physical Intelligence, a company focused on developing intelligent physical systems. Her work has been highly influential, evidenced by over 100,000 citations.

PhD, University of California, Berkeley
United States
InstagramInstagram
LinkedInLinkedIn16.8K
AcademiaArtificial IntelligenceRobotics
102.1K+
Citations
16.7K
LinkedIn Followers
1
Companies Founded
5+
Years at Stanford
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Work Experience

Physical IntelligencePhysical Intelligence
Physical Intelligence

Co-Founder

Mar 2024 - Present
Position
Co-Founder
Stanford UniversityStanford University
Stanford University

Assistant Professor

Sep 2019 - Present
Responsibilities
https://ai.stanford.edu/~cbfinn
Google Brain, Google DeepMindGoogle Brain, Google DeepMind
Google Brain, Google DeepMind

Research Scientist

Aug 2018 - Mar 2024
Position
Research Scientist
UC BerkeleyUC Berkeley
UC Berkeley

PhD Student

Aug 2014 - Aug 2018
Position
PhD Student
C
Counsyl

Engineering Intern

Jun 2014 - Aug 2014
Responsibilities
Computational Biology and Automation Engineering
Massachusetts Institute of Technology (MIT)Massachusetts Institute of Technology (MIT)
Massachusetts Institute of Technology (MIT)

CSAIL - Undergraduate Researcher

Aug 2013 - Jun 2014
Responsibilities
Robotics Vision and Sensor Networks Group -- Text spotting project for the blind and vision-impaired. CSAIL - Undergraduate Researcher
Massachusetts Institute of Technology (MIT)Massachusetts Institute of Technology (MIT)
Massachusetts Institute of Technology (MIT)

Undergraduate Researcher

Sep 2012 - Jan 2014
Responsibilities
Earth Signals and Systems Group -- Computer Vision for whale shark 'tagging' & identification Undergraduate Researcher Sep 2012 - Jan 2014 · 1 yr 5 mos
GoogleGoogle
Google

Software Engineering Intern

May 2013 - Aug 2013
Responsibilities
Video Processing for Google Play Movies & YouTube
GoogleGoogle
Google

Software Engineering Intern

May 2012 - Aug 2012
Responsibilities
Software development for the internationalization team.
MIT Media LabMIT Media Lab
MIT Media Lab

UROP

May 2011 - Feb 2012
Responsibilities
Developed a generative model based on 8000 business networks to show the impact of varying user arrival time on final network structure.
Sandia National LaboratoriesSandia National Laboratories
Sandia National Laboratories

Summer Intern

Jun 2009 - Aug 2009
Position
Summer Intern

Education

University of California, BerkeleyUniversity of California, Berkeley
University of California, Berkeley

Doctor of Philosophy (PhD)

2014 - 2018
Field of Study
Doctor of Philosophy (PhD) - EECS
Massachusetts Institute of TechnologyMassachusetts Institute of Technology
Massachusetts Institute of Technology

BS

2010 - 2014
Field of Study
BS - Electrical Engineering and Computer Science
Amador Valley High SchoolAmador Valley High School
Amador Valley High School
2006 - 2010
Education
N/A

Key Highlights

Google Scholar Impact

102.1K+ citations, focusing on meta-learning and reinforcement learning for robotics.

Physical Intelligence (Pi)

Co-founder of Physical Intelligence (Pi), bringing general-purpose AI into the physical world.

Robotics and AI Research

Research focuses on enabling robots to develop broadly intelligent behavior through learning and interaction.

Stanford Faculty

Assistant Professor in Computer Science and Electrical Engineering at Stanford University.

Expertise and Skills

Chelsea Finn's expertise spans the core areas of modern AI, with a strong emphasis on practical application in robotics and the development of learning algorithms that enable rapid adaptation.

Core AI Disciplines
Machine LearningReinforcement LearningMeta-LearningDeep LearningBayesian Inference
Application Areas
RoboticsComputer VisionSignal ProcessingDigital Image Processing

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