Summary
Brian Feldstein is a data scientist lead at Meta with 11 years of experience applying advanced analytics and generative AI to product-scale problems. His career spans industry and academia—from research roles at Boston University, The University of Tokyo, and Oxford to senior analytics leadership at Activision and a brief stint at Quibi—bringing deep quantitative rigor from a PhD in particle physics. At Meta he focuses on generative AI, combining a strong theoretical background in mathematics and physics with hands-on production analytics to drive impactful models and experiments. Known for bridging research and product, he excels at turning complex statistical methods into scalable, business-facing solutions. Based in Culver City, he brings a researcher’s curiosity to industrial ML challenges, often drawing on interdisciplinary techniques not obvious from a typical data science background.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Master of Arts (M.A.), Elementary Particle Physics, Doctor of Philosophy (Ph.D.), Master of Arts (M.A.), Elementary Particle Physics at University of California, Berkeley
Honours Bachelor of Science, Mathematics and Physics, Honours Bachelor of Science, Mathematics and Physics at University of Toronto