Summary
Maxime Petit is a Lead Data Scientist and AI technical leader with 11+ years of experience bridging academic research and industrial deployment in robotics, human-robot interaction, and applied machine learning. He leads Data/AI initiatives at Sanofi’s 14Bis Innovation Lab, managing junior teams and guiding projects from framing and prototyping to production with an agile, business-oriented approach. His background includes postdoctoral leadership at École Centrale de Lyon (co-PI on €2.3M in grants) and research roles at Imperial College and INSERM focused on developmental Bayesian vision, long-term memory, and learning-by-demonstration on humanoid platforms like iCub. Comfortable in both C++ and modern data stacks (Python/R/SQL), he combines deep academic publication experience with hands-on lab setup, robotics deployment and stakeholder-driven productization. Notably, he has repeatedly translated EU-funded fundamental research into industrial collaborations (automotive bin-picking, realistic sim-to-real manipulation), reflecting a rare fluency across grant writing, experiment engineering and pragmatic AI delivery.
11 years of coding experience
6 years of employment as a software developer
M.Sc. in Biosciences Engineering (Major in Bioinformatics), M.Sc. in Biosciences Engineering (Major in Bioinformatics) at INSA Lyon - Institut National des Sciences Appliquées de Lyon
M.Sc. degree in Computer Sciences (major in Cognitive Sciences), M.Sc. degree in Computer Sciences (major in Cognitive Sciences) at Paris-Sud University (Paris XI)
A.A.S. (Associate of Applied Science) Degree in Biology (Major in Bioinformatics) Bioinformatics, A.A.S. (Associate of Applied Science) Degree in Biology (Major in Bioinformatics) Bioinformatics at UNIVERSITE D'AUVERGNE
Sciences, Sciences at Université de Technologie de Compiègne (UTC)
Doctor of Philosophy - PhD Robotics (Machine Learning & Neurosciences), Doctor of Philosophy - PhD Robotics (Machine Learning & Neurosciences) at Université Claude Bernard Lyon 1
English, French