Summary
Patrick Emami is a Staff Research Scientist focused on building scientific foundation models and conversational, collaborative assistants for researchers, currently leading the ASCR AI for Science project "Theseus" at the National Lab of the Rockies. With a PhD in Machine Learning and over a decade of experience across national labs and academia, he translates ML research into practical tools for clean energy and engineering applications. His background includes work on reinforcement learning and gradient-free optimization for city-scale traffic and energy systems at NREL, reflecting a rare blend of ML theory and systems-level deployment. Based in Oregon, he combines deep technical expertise with leadership in multi-institutional science initiatives, often engineering models that bridge domain science and usable AI workflows. Colleagues describe him as an experimentalist who moves fast from prototypes to production-ready assistants that accelerate scientific collaboration.
11 years of coding experience
9 years of employment as a software developer
High School Diploma / IB Diploma, High School Diploma / IB Diploma at Stanton College Preparatory
Computer Science, Computer Science at Fordham University
Doctor of Philosophy (PhD) Machine Learning, Doctor of Philosophy (PhD) Machine Learning at University of Florida
Spanish, English