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Professor Finn's research interests lie at the ability to enable robots and agents to develop broadly intelligent behavior through learning and interaction. Her work lies at the intersection of Machine Learning and robotic control, covering topics such as end-to-end learning, visual perception, robotic manipulation skills, and deep reinforcement learning for general skills using autonomously collected data. Additionally, she explores meta-learning algorithms that allow for fast learning of new concepts and behaviors. Her research has been recognized with awards including the ACM doctoral dissertation award and the Presidential Early Career Award for Scientists and Engineers. Finn's work has been featured in various media outlets including New York, Wired, and Bloomberg. Throughout her career, she has actively sought to increase the representation of underrepresented minorities in Computer Science and Artificial Intelligence by developing AI outreach camps for underprivileged high school students, mentoring programs for underrepresented undergraduates at various universities, and leading efforts in women-centric communities such as WiML and WiCSE.
Stanford University • Stanford, CA
Teaching and conducting research in Computer Science and Electrical Engineering.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.