Victoria Dean

Victoria Dean (she/her) is an Assistant Professor of Computer Science at Olin College of Engineering, where she investigates robotics and machine learning with a focus on exploration strategies, benchmarking, and democratizing AI. Her work includes the TOTO Benchmark for real-robot evaluation and audio-visual curiosity models for exploration.

• Education: Ph.D. in Robotics (Carnegie Mellon, 2023), B.S. in Computer Science and Engineering (MIT, 2017)

Dean's research bridges robotics and machine learning, emphasizing task-agnostic exploration, domain adaptation, and ethical AI curriculum development. She co-designed Train Offline, Test Online (TOTO), a remote robot evaluation platform with multimodal dataset access.

Her scientific accolades include a NeurIPS Best Paper Award (2022), NSF GRFP (2020), and Siebel Scholar recognition (2022). She organized workshops like L-DOD at ICRA 2023 and Robot Learning in the Cloud at RSS 2022.

Dean actively promotes undergraduate research and diversity in STEM. At Carnegie Mellon, she served as Instructor of Record for Ethics and Robotics (16-735) and Teaching Assistant for Deep Reinforcement Learning (16-881). At MIT, she co-founded Code for Good and taught courses including Introduction to Electrical Engineering (6.01).