Summary
Antoine Plissonneau is a data scientist with a PhD in deep learning and nine years of experience applying AI to industrial and transportation challenges. He has led end-to-end predictive maintenance and data pipelines in startups and deployed research-grade reinforcement and imitation learning for collision avoidance in autonomous freight rail projects with partners like SNCF and Alstom. Currently at TotalEnergies, he combines production-focused data science with a strong research background from LAMIH and Railenium, bridging academic rigor and operational delivery. His skills span signal processing, computer vision, statistical modeling and ML engineering, demonstrated by deployments across Europe and the US. Notably, he has steered multi-partner R&D programs and published conference and journal work that translate directly into safer, more autonomous rail systems.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Université Polytechnique Hauts-de-France
Master 2 (M2), Statistique et Informatique Décisionnelle, Master 2 (M2), Statistique et Informatique Décisionnelle at Université Paul Sabatier Toulouse III