Summary
Lucas Sato is a Member of Technical Staff and AI researcher based in Palo Alto with nine years of experience blending machine learning research and cognitive science. Currently pursuing advanced studies in Computer Science, Mathematics, and Philosophy at Stanford, he focuses on elicitation and evaluation of language model capabilities and mechanistic interpretability. His background includes research on neural semantic parsing, dialogue modeling, and visuospatial cognition, reflecting a rare cross-disciplinary fluency between formal theory and empirical modeling. At METR and Redwood Research he has worked on probing what models know and how they represent reasoning, aiming to make AI systems more transparent and beneficial. Lucas brings both academic rigor from Stanford labs and hands-on experimentation with state-of-the-art language models, often asking foundational questions that bridge philosophy and engineering.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Portuguese, English, Spanish