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Chelsea Finn is an Assistant Professor in the Department of Computer Science and the Department of Electrical Engineering at Stanford University, and a William George Ida Mary Hoover Faculty Fellow. Her research interests focus on enabling robots and agents to develop broadly intelligent behaviors through learning and interaction. Her work intersects machine learning and robotic control, covering topics such as end-to-end learning, visual perception, robotic manipulation skills, deep reinforcement learning, and meta-learning algorithms that facilitate fast learning of new concepts and behaviors. Finn's research has been recognized with several awards, including the ACM Doctoral Dissertation Award and the Presidential Early Career Award for Scientists and Engineers. She is committed to increasing representation of underrepresented minorities in computer science and artificial intelligence through outreach initiatives and mentoring programs. Finn has also contributed to communities supporting women researchers in the field.
Stanford University • Stanford, California
Teaching and research in the fields of Computer Science and Electrical Engineering.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.