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Tom Silver is an Assistant Professor at Princeton University focusing on the intersection of automated planning and machine learning. He leads the Princeton Robot Planning Learning lab, where his research aims to develop generalist robots that can learn and plan to assist people in their daily activities. Silver's background includes a PhD in Electrical Engineering and Computer Science from MIT, where he was advised by notable figures such as Leslie Kaelbling and Josh Tenenbaum. He has also completed a postdoctoral position at Cornell University. His interests encompass task motion planning, program synthesis, foundation models, reinforcement learning, and neuro-symbolic machine learning. Silver's work addresses complex problems in robotics, emphasizing the development of assistive technologies that empower individuals, particularly in areas like feeding and personal care. He is passionate about open science and typically develops his research projects in accessible formats, promoting collaboration and transparency in the field.
Princeton University • Princeton, NJ, US
Teaching and conducting research in Electrical and Computer Engineering, focusing on robotics and planning.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.