Robin Magnet is a postdoctoral researcher in 3D computer vision with eight years of experience specializing in 3D shape analysis and matching using functional maps. Trained at top French institutions (École Polytechnique, ENS Paris-Saclay, CentraleSupélec) he completed a PhD on localizing differences between 3D shapes and now works at Inria’s HeKA team on bone fracture detection and reconstruction. His background blends strong mathematical foundations (MVA, applied mathematics) with hands-on research internships at Meta Reality Labs and industry-facing biometric and face-scan projects. He is comfortable bridging theory and application—developing probabilistic and deep-learning methods—and maintains an active GitHub and publication record. A less obvious strength is his repeated collaboration with leading computational geometry groups, signaling both deep domain expertise and an ability to integrate across academic and industrial research teams.
8 years of coding experience
Baccalauréat scientifique, Baccalauréat scientifique at Lycée Hector Berlioz
Master of Science in Engineering, Applied Mathematics, Master of Science in Engineering, Applied Mathematics at CentraleSupélec
Intensive preparation in Math and Physics for competitive examination to the French Grandes Ecoles, Math and Physics (MP*), Intensive preparation in Math and Physics for competitive examination to the French Grandes Ecoles, Math and Physics (MP*) at Lycée Saint Louis
Contributions:5 commits, 2 pushes, 1 branch in 1 year 2 months
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