Regular biography
Victoria Dean is a Lecturer in the Department of Computer Science at Princeton University. She joined the Princeton faculty in 2025 and teaches across introductory computer science, machine learning, and ethics. Her research interests lie at the intersection of machine learning and robotics, focusing on generalization, benchmarking, and democratization. Prior to Princeton, she was an Assistant Professor of Computer Science at Olin College of Engineering. She received her Ph.D. in Robotics from Carnegie Mellon University in 2023 and her B.S. in computer science and engineering from MIT. Dean is passionate about teaching and mentoring undergraduate students, with an emphasis on improving diversity, equity, and inclusion.
Scholar-generated biography
Victoria Dean is an Assistant Professor of Computer Science at Olin College of Engineering, specializing in Machine Learning. Her research focuses on developing methods for robots to learn from limited data and adapt to new environments. She explores topics such as policy learning under domain shifts, imitation-based learning, and the integration of audio-visual data for manipulation tasks. Dean also investigates the application of AI in education, particularly in higher education settings, and contributes to the development of open-source benchmarks for sustainable building control. Her work emphasizes the importance of ethical considerations in AI and pedagogical practices.