Sam Lobel is a machine learning research scientist specializing in reinforcement learning for autonomous systems, currently applying optimistic exploration algorithms to real-world AV problems at Nuro. With a Ph.D. from Brown under George Konidaris, his research bridges classical RL theory and deep learning to produce practical, uncertainty-aware exploration methods. He has industry experience at SonyAI and earlier software roles where he built production data pipelines and web tools, giving him uncommon fluency across research prototypes and production engineering. Based in Rhode Island and active in both academic and applied settings, Sam focuses on making theoretically grounded RL work reliably at scale in complex, safety-critical environments.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Brown University
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at University of Pennsylvania
Contributions:3 pushes, 1 branch in 7 years 6 months
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Sam Lobel - Machine Learning Research Scientist at Nuro