Jacques MAUBERT

Jacques MAUBERT is a current student at Université PSL and holds a position as a junior data scientist at Qantev, where expertise in enhancing fraud detection models for health insurance clients has been demonstrated. Prior experience includes serving as a machine learning engineer at Bracco, focused on ultrasound image classification, and as a machine learning researcher at MBDA, where deep reinforcement learning techniques were applied to develop guidance laws for missiles. Jacques MAUBERT's academic background encompasses a BSc in Mathematics and Physics from Lycée Berthollet, a MSc in Statistics from Télécom SudParis, and ongoing MSc studies in Machine Learning at both ENS Paris-Saclay and Paris-Dauphine.