Thibault Allart is Head of Data and Science at Dolead with nine years of experience building and leading multidisciplinary data teams across France. He blends a strong academic foundation—a PhD co-direction in mathematics, statistics, and computer science—with hands-on roles at Ubisoft and vente‑privée to translate advanced statistical learning and sparse/reinforcement learning research into production impact. Known for steering teams of data engineers, analysts, and scientists, he focuses on pragmatic AI solutions that improve business outcomes while keeping methodological rigor. Comfortable at the intersection of theory and product, he brings deep expertise in statistical learning techniques alongside a practical orientation for deployment and team growth.
9 years of coding experience
6 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at université de Franche-Comté
Ph. D. Codirection Mathematics and statistics, Ph. D. Codirection Mathematics and statistics at Pierre and Marie Curie University
Contributions:2 commits, 31 pushes, 1 branch in 4 months
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