Rémi Stroh is an algorithm engineer with a PhD in applied mathematics. They gained early experience as a software developer at Forschungszentrum Jülich, where they worked on parallel computing. From 2015 to 2018, Rémi was a PhD researcher at LNE, focusing on statistical models and simulation accuracy. Since 2018, they have been an algorithm engineer at Exotec, developing algorithms to optimize robot fleet traffic and enhance pathfinding and obstacle detection. Rémi holds multiple degrees, including an engineer's degree with highest honors from Supélec and a bachelor's and master's degree from Université Paris-Sud.
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