Lucas Sato

Lucas Sato is a skilled researcher and technical expert with a strong background in language models and computational systems. Currently serving as a Member of Technical Staff at METR, Lucas leads research on language model capabilities and manages a team of four researchers. Prior to this role, Lucas engaged in research on mechanistic interpretability at Redwood Research and served as a Teaching Assistant at Stanford University for various computer science courses. Experience also includes research at Stanford's Parallel Distributed Processing Lab and Open Virtual Assistant Lab, along with software engineering internships focused on geolocation analytics and AI-powered tools. Academic credentials include a Master of Science in Computer Science and a Bachelor of Arts and Sciences in Mathematics and Philosophy, both from Stanford University.