Summary
Antoine Plumerault is a technical leader and AI research scientist based in Paris with nine years of experience specializing in generative deep learning and controllable image synthesis. Currently heading the Deep Learning team at Nintendo European Research and Development, he blends research-grade expertise—rooted in a doctoral project on unsupervised control of image generators and ICLR/ICPR publications—with hands-on engineering to drive applied ML in production contexts. His background in applied mathematics (ENSTA, ENS Paris-Saclay) and internships across CEA and City, University of London give him a strong foundation in image analysis, transfer learning and representation learning. Known for turning theoretical insights about continuous factors of variation into practical model controls, he excels at bridging rigorous research with product-oriented delivery.
9 years of coding experience
MVA (Mathématiques Vision Apprentissage), MVA (Mathématiques Vision Apprentissage) at ENS Paris-Saclay
Diplôme d'ingénieur, Applied Mathematics, Diplôme d'ingénieur, Applied Mathematics at ENSTA ParisTech - École Nationale Supérieure de Techniques Avancées
CPGE - MPSI/MP, Mathématiques, physique et informatique, CPGE - MPSI/MP, Mathématiques, physique et informatique at Lycée Victor Grignard
Master 1 (M1) Mathématiques Appliquées, Master 1 (M1) Mathématiques Appliquées at Université Paris-Saclay
French, English, Italian