Work Experience
Physical Intelligence
Co-Founder
Position
Co-Founder
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.
Co-Founder
Co-Founder
Assistant Professor
https://ai.stanford.edu/~cbfinn
Research Scientist
Research Scientist
PhD Student
PhD Student
Engineering Intern
Computational Biology and Automation Engineering
CSAIL - Undergraduate Researcher
Robotics Vision and Sensor Networks Group -- Text spotting project for the blind and vision-impaired. CSAIL - Undergraduate Researcher
Undergraduate Researcher
Earth Signals and Systems Group -- Computer Vision for whale shark 'tagging' & identification Undergraduate Researcher Sep 2012 - Jan 2014 · 1 yr 5 mos
Software Engineering Intern
Video Processing for Google Play Movies & YouTube
Software Engineering Intern
Software development for the internationalization team.
UROP
Developed a generative model based on 8000 business networks to show the impact of varying user arrival time on final network structure.
Summer Intern
Summer Intern
Doctor of Philosophy (PhD)
Doctor of Philosophy (PhD) - EECS
BS
BS - Electrical Engineering and Computer Science
N/A
102.1K+ citations, focusing on meta-learning and reinforcement learning for robotics.
Co-founder of Physical Intelligence (Pi), bringing general-purpose AI into the physical world.
Research focuses on enabling robots to develop broadly intelligent behavior through learning and interaction.
Assistant Professor in Computer Science and Electrical Engineering at Stanford University.
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.
Machine Learning
Reinforcement Learning
Meta-Learning
Deep Learning
Bayesian Inference
Robotics
Computer Vision
Signal Processing
Digital Image Processing
Python
C++
Java
Matlab
Linux
Algorithms
Software Engineering