Summary
Dylan Hadfield-Menell is an assistant professor at MIT and Chief Scientist at Preamble with 12 years of experience at the intersection of robotics, AI safety, and decision-making. He earned a PhD in Computer Science (AI) from UC Berkeley after top-ranked degrees at MIT, and his research blends formal planning, human-aligned learning, and practical deployment. His work at MIT’s CSAIL and in partnerships with industry produced novel hierarchical planning and preventive maintenance algorithms that improved execution cost and are moving toward commercial use. Dylan bridges rigorous research and product-minded engineering—leading projects that range from force control on PR2 robots to scalable scheduling systems. He is based in Cambridge, MA, and is known for combining theoretical insights with reproducible implementations that emphasize safety and interpretability. An understated strength is his track record of turning conference-grade research into working systems and industry collaborations.
11 years of coding experience
Doctor of Philosophy (PhD), Computer Science -- Artificial Intelligence, Doctor of Philosophy (PhD), Computer Science -- Artificial Intelligence at University of California, Berkeley
Bachelor's degree, Computer Science and Computer Engineering, 5.0/5.0, Bachelor's degree, Computer Science and Computer Engineering, 5.0/5.0 at Massachusetts Institute of Technology