Summary
Ronan Fruit is a data scientist and PhD researcher with 11 years of experience bridging theoretical reinforcement learning and real-world product delivery. Currently at Decathlon France after research and leadership roles at Vekia and an internship at Facebook AI, he focuses on designing RL algorithms with provable performance and practical sample efficiency. Trained at CentraleSupélec and INRIA Lille, he combines strong applied mathematics with hands-on engineering, including early R&D work at Airbus on Bayesian game-theoretic threat prediction. He is particularly interested in the exploration–exploitation trade-off in online RL and has a track record of turning rigorous theory into deployable systems. Unusually for an academic, he has substantial industry experience leading data science teams and shipping production models.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS, ENGINEERING, GPA: 4.08 (first year) and 4.12 (last year), Master of Science - MS, ENGINEERING, GPA: 4.08 (first year) and 4.12 (last year) at Ecole Centrale Paris
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at University of Lille 1 Sciences and Technology
Classes Préparatoires aux Grandes Ecoles MPSI-MP*, Mathematics, Classes Préparatoires aux Grandes Ecoles MPSI-MP*, Mathematics at Lycéee Pierre de Fermat
English, Italian