Summary
Thomas Bredillet is an AI scientist and Member of Technical Staff at OpenAI with 14 years of experience building and researching large-scale machine learning systems across ads, recommendations, and real-time analytics. He has driven revenue-impacting ML at Kantar, Google, Meta/Instagram and led core ads modeling and retrieval-to-serving efforts using sophisticated sequential architectures and GPU acceleration. Equally comfortable as an individual contributor and leader, he blends deep statistical and algorithmic expertise with hands-on engineering—from auction theory and yield optimization to production recommender systems. Trained in mathematics, engineering and financial statistics, he tends to tackle “hard” algorithmic problems and has a track record of improving backtesting and production analytics robustness. Based in Amherst, NH, he sometimes publishes under the handle “tnb” and brings a rare mix of research rigor and product-minded deployment experience.
14 years of coding experience
15 years of employment as a software developer
Bachelor, Mathematics, Bachelor, Mathematics at Université de Bretagne Occidentale
Master, Engineering, Master, Engineering at IMT Atlantique
Master, Mathematics, Master, Mathematics at New York University
Master, Statistics, Financial Mathematics, Master, Statistics, Financial Mathematics at Université Paris Dauphine
French, Spanish, English