Raphaël Levisse
Currently developing Computer Vision algorithms at Bobyard in San Francisco.
Researched Machine Learning algorithms in the Seung Lab at Princeton Neuroscience Institute. Mainly focusing on multi-modal / multi-scale sample efficient learning in RL or supervised learning configurations for accurate neuron reconstruction.
My research interests lie in mathematical optimization, efficient learning algorithms, and developing sophisticated AI tools that leverage these mathematical foundations.
In France, I worked on theoretical optimization of movement on precision hardware and trajectory learning. This included creating algorithms for precision control in various applications, including a robotic serpent with 24 motors and a prosthetic arm controlled via a brain-computer interface.
Beyond my research, I am an avid pianist (17+ years), enjoy improvisation, and am passionate about high-altitude volcano and mountain climbing.
Interests
- Machine Learning
- Classical and modern Computer Vision
- Probabilistic robotics
- Motion planning
- Mathematical optimization
- C++/Python
Education
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MEng, Mechanical Engineering, Robotics, 2024
University of California, Berkeley
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MSc, Applied Mathematics for Autonomous Systems, 2023
CentraleSupélec - University Paris Saclay
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BSc, Maths and Physics., 2022
CentraleSupélec - University Paris Saclay
