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Dhruv Shah is an Incoming Assistant Professor in the Department of Electrical and Computer Engineering at Princeton University, starting in January 2026. His research interests lie at the intersection of machine learning and robotics, with a focus on building intelligent robotic systems that can be effectively deployed in challenging environments. Dhruv's research group emphasizes several key areas, including large-scale robot learning, reinforcement learning, long-horizon reasoning and planning, and modeling multi-agent human-robot interactions. He aims to develop systematic approaches within robotics, combining algorithmic innovations with practical system designs. Dhruv draws inspiration from cognitive science and psychology to create physical AI systems that integrate perception, learning, and control. He is actively recruiting PhD students for the upcoming admissions cycle and encourages interested candidates to apply to his lab at Princeton.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.