Paul Gersberg is a PhD graduate with a focus on numerical simulations and mathematical modelization. With experience as an Analyste de données at Capgemini, they develop visualization tools and workflows across various projects. Previously, Paul held positions in data science and innovation management, demonstrating expertise in machine learning and algorithmic mathematics. Their educational background includes a Master's in Physics of Complex Systems from Université Pierre et Marie Curie and significant research experience in fields like radiative transfer and analytical computations in cosmology. Currently, they aim to contribute to the low carbon energy transition by integrating physical models with artificial intelligence.
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