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Marynel Vázquez is an Assistant Professor in the Department of Computer Science at Yale University and the lead of the Yale Interactive Machines Group (IMG). Her primary research area focuses on Human-Robot Interaction (HRI). Prior to her current role, she completed a post-doctoral fellowship at the Stanford Vision and Learning Lab, working on the JackRabbot project, and has collaborated with Disney Research during her PhD at Carnegie Mellon University’s Robotics Institute. Vázquez has been actively involved in the field of robotics, particularly in applying machine learning and computer vision techniques for enhancing interactivity in robots. She has received notable awards for her research, including the 2024 AFOSR YIP Award and the 2022 NSF CAREER Award. Her work has been recognized at multiple conferences with paper nominations and awards, showcasing the impact of her research in HRI. In addition to her research activities, Vázquez teaches courses such as 'Building Interactive Machines' and 'Introduction to Human-Computer Interaction' at Yale, bridging theoretical concepts with practical applications in interactive systems.
Stanford Vision and Learning Lab • Stanford, CA
Worked on the JackRabbot project, focusing on advancements in robotics and human-robot interaction.
Yale University • New Haven, CT
Leading research in Human-Robot Interaction and teaching courses related to computer science and interaction technologies.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.