Summary
Maxime Brunet is a research engineer in robotics based in Paris with 11 years of experience, currently advancing control and rehabilitation systems at Wandercraft. He holds a PhD in applied mathematics and robotics and specializes in real-time constrained optimization, bipedal dynamics, and control for self-balanced lower-limb exoskeletons. His work bridges theory and practice—translating advanced optimization and rigid-body dynamics into clinical gait-training features—and has resulted in two patents. Prior roles span hands-on R&D, sensor calibration for low-cost inertial units, and full-stack tooling for scientific data, reflecting a rare mix of mathematical depth and pragmatic software engineering. Colleagues value his ability to push real-time control algorithms from research prototypes into robust, patient-facing products.
11 years of coding experience
2 years of employment as a software developer
Classe préparatoire (MP), Mathématiques et physique, Classe préparatoire (MP), Mathématiques et physique at Lycee Massena
Master's degree in Science and Executive Engineering, Applied mathematics, Master, Master's degree in Science and Executive Engineering, Applied mathematics, Master at MINES ParisTech
PhD, Applied mathematics and robotics, PhD, Applied mathematics and robotics at Mines Paris
French, English, Chinese, Italian