Raphaël Carpintero Perez is a current research engineer specializing in uncertainty quantification and machine learning at the CEA. They are also pursuing a PhD at Safran through a CIFRE thesis with CMAP at École Polytechnique, focusing on "Regression by Gaussian Processes for High-Dimensional Inputs." Previously, they interned at the Laboratoire de Probabilités Statistiques et Modélisation in 2022, where they worked on statistical learning and high-dimensional data. Raphaël holds a Master's degree in Mathematics, Computer Science, and Data Science from Université de Paris and a Bachelor's degree in Mathematics and Computer Science from Université Paris Diderot.
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