Eline Pot

Eline Pot is currently a PhD student at Framatome, focusing on uncertainty quantification in neural networks for critical applications. Prior experience includes a data science internship at SFR, where Eline enhanced a machine learning risk prediction model, and a data analysis internship at Crédit Agricole des Côtes d'Armor, developing decision-making support tools. Additionally, Eline completed a research internship at LIPN, studying deep clustering and co-clustering frameworks. Academic achievements include a Scientific Baccalaureate with highest honors, a Master of Science in Applied Mathematics, Statistics & Data Science from Institut de Statistique de l'Université de Paris - ISUP, and a Master of Science in Applied Mathematics, Statistical and Machine Learning & Algorithms from Sorbonne University, also with high honors. Eline is pursuing a PhD at CentraleSupélec.