Megane M

Research Engineer at Sorbonne Université

Paris, Ile-de-France
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Summary

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Megane 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.
code4 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Sorbonne Université
bookEngineer’s Degree, Robotics, Engineer’s Degree, Robotics at Polytech Sorbonne
languagesEnglish, German, French
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Github Skills (17)

algorithms10
robotics10
fcl10
kinematics10
python10
conda10
dynamics10
automatic-differentiation10
pinocchio10
code-generation10
casadi10
urdf10
motion-planning10
ros10
mujoco5

Programming languages (2)

C++Python

Github contributions (5)

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MegMll/pinocchio

Jun 2023 - Jul 2023

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Contributions:17 pushes in 6 days
ISIR-EXTENDER/controllers

Apr 2026 - Jul 2026

Contributions:2 pushes, 1 branch in 2 months
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