Summary
Florent Bartoccioni is a Senior Applied Scientist with a decade of experience advancing perception and world-modeling for autonomous driving, currently leading the World-Model initiative and serving as principal investigator across a 9-researcher task force. Based in Paris, he bridges academic rigor and industrial deployment—turning self-supervised research (eg. multi-camera BEV, monocular depth with few-beam LiDAR) into working prototypes and tech transfer for large-scale R&D teams. His background spans a PhD-level research trajectory and hands-on roles where he rapidly translated papers into road-ready systems (delivering a depth estimation prototype end-to-end in three weeks). He advises multi-site teams on roadmaps and KPIs, and has supervised engineers to integrate research into product stacks. Notably, his work blends generative AI, robotics, and large-scale self-supervised learning to push predictive scene understanding for dynamic environments.
10 years of coding experience
BSc in Computer Science, BSc in Computer Science at Université de Rennes I
CPGE, Mathematics and Physics, CPGE, Mathematics and Physics at Centre International de Valbonne
MSc in Computer Science, MSc in Computer Science at École normale supérieure de Rennes