Dr. Chelsea Finn

Assistant Professor

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Biography

Chelsea Finn is an Assistant Professor in the Department of Computer Science and the Department of Electrical Engineering at Stanford University. She is a co-founder of IRIS, a lab focusing on the study of intelligent robotic interaction at scale, and is affiliated with the Stanford Artificial Intelligence Laboratory's Machine Learning Group. Finn's research centers on the capabilities of robots and agents to develop broadly intelligent behavior through learning and interaction. She completed her Ph.D. in Computer Science and holds a B.S. in Electrical Engineering and Computer Science. Previously, she was part of the Google Brain team. Finn's work has garnered significant recognition, including Intel's Rising Star Faculty Award and an ACM Doctoral Dissertation Award for her thesis on Learning to Learn Gradients. She actively engages in teaching and research, focusing on deep multi-task meta-learning and deep reinforcement learning, with several co-organized workshops and tutorials at major conferences, as well as a commitment to mentoring students from low-income backgrounds. Finn continues to contribute to the field through various publications and research initiatives.

Research Interests

Experience

Assistant Professor

2018-09-01 — Present

Stanford University • Stanford, CA

Teaching advanced courses in artificial intelligence and machine learning.

Awards

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Intel's Rising Star Faculty Award

2020-01-01
#

ACM 2018 Doctoral Dissertation Award

2018-01-01

Courses

Stanford CS224R: Deep Reinforcement Learning - Spring 2023 Stanford CS330: Deep Multi-Task Meta Learning - Fall 2019 Stanford CS221: Artificial Intelligence: Principles and Techniques - Spring 2020 UCB CS294-112: Deep Reinforcement Learning - Spring 2017

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.