Megane M
Research Engineer at Sorbonne Université
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolMegane M is a research engineer with a PhD and four years of hands-on experience at the intersection of machine learning, robotics, and biomechanics, currently developing deterministic, low-latency control and human-in-the-loop interfaces for assistive robotic arms at Sorbonne Université. Her background spans deep learning for gesture evaluation and person re-identification, core development of the Pinocchio library for biomechanics simulation at Inria, and production-grade C++ motion-planning architectures for safe human-robot interaction. She combines academic rigor with practical engineering—teaching mobile robotics, shipping vision and control pipelines, and translating low-bandwidth user inputs into multi-DOF robotic motion. Based in Paris, she is motivated to apply her expertise to healthcare technologies that restore autonomy, and quietly bridges the gap between industrial-grade simulation tools and real-world assistive systems.
3 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Sorbonne UniversitéEngineer’s Degree, Robotics, Engineer’s Degree, Robotics at Polytech Sorbonne
English, German, French
Github Skills (19)
robotics10
fcl10
kinematics10
python10
conda10
dynamics10
automatic-differentiation10
code-generation10
pinocchio10
casadi10
analytical10
urdf10
cpp10
motion-planning10
ros10
Programming languages (2)
Github contributions (5)
MegMll/pinocchio
Mar 2024 - Mar 2025
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Contributions:108 PRs, 362 pushes, 64 branches in 1 year
MegMll/su_atracsys_interfaces
Jun 2022 - Jun 2022
Contributions:1 push, 1 branch in 1 day
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