Unleash the power of light wisely – we’re here to guide you in steering energy-efficient illumination, reducing light pollution and energy use.

Leveraging cutting-edge machine learning techniques, RAYMAPR is dedicated to assisting you in optimizing light beams. Our applications include design of LED based optical components for the public transport and automotive industries, for exterior lighting, but also for artistic illumination of buildings.

The team

Jean-Baptiste Keck is the lead developer of RAYMAPR. He is a computational scientist, specialized in the implementation of distributed numerical methods. He holds an Engineer degree from Grenoble INP and PhD in Applied mathematics from Université Grenoble-Alpes.

Boris Thibert is professor in Applied mathematics in Université Grenoble-Alpes. His expertise lies in the computational aspects of geometric problems, with connections with various domains such as optimal transport, Monge-Ampère equations, inverse problems in optics.

Quentin Mérigot is professor in Applied mathematics in Université Paris-Saclay. His specialty include optimal transport, inverse problems, numerical analysis and geometric methods for data analysis, combining techniques from optimization and computational geometry.

Contact us at contact@raymapr.fr !