Samuel Barrett is a Senior Staff Research Scientist at Sony AI with 14 years of experience building practical ML and robotics systems from academic theory to production. He earned a Ph.D. from UT Austin studying ad hoc teamwork—algorithms that let agents quickly adapt to unknown teammates—and translated that research into deployed products at Amazon Robotics and Cogitai, including a warehouse-problem detection system that saved millions and the Continua ML platform. Samuel combines deep theoretical grounding (provable algorithms and transfer learning) with hands-on engineering and team leadership, having led research teams and taught ML internally. Based in Portland, he has a track record in robot soccer and humanoid control that hints at a fondness for real-world, embodied challenges that inform his AI work.
14 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The University of Texas at Austin
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Stevens Institute of Technology
Contributions:1 PR, 48 pushes, 1 branch in 6 years 5 months
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Samuel Barrett - Senior Staff Research Scientist at SonyAI