Florent Bartoccioni
Senior Applied Scientist at Valeo
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolFlorent 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 ICPGE, Mathematics and Physics, CPGE, Mathematics and Physics at Centre International de ValbonneMSc in Computer Science, MSc in Computer Science at École normale supérieure de Rennes
Github Skills (61)
pytorch10
artificial-intelligence10
multi-camera10
python10
pretrain10
machine-learning10
ai10
data-science9
depth-estimation9
deep-learning9
reproducible-science7
residual-networks7
reproducible-research7
inference7
gpu7
Programming languages (3)
Github contributions (5)
valeoai/LaRa
Jul 2022 - Dec 2022
[CoRL 2022] LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation
Contributions:10 commits, 6 pushes, 1 comment in 4 months
multi-camerasemantic-segmentation
F-Barto/Depth
Apr 2020 - Mar 2021
Contributions:1182 pushes, 36 branches in 11 months
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