Summary
Valentin De Bortoli is a research scientist at Google DeepMind, currently on leave from CNRS, focusing on stochastic methods for generative modelling. He explores both the theoretical and practical facets of deep learning for data generation, aiming to translate rigorous mathematics into scalable generation systems. His career includes a postdoctoral stint at the University of Oxford and PhD training at ENS Paris-Saclay, reinforcing a strong, interdisciplinary research background. He earned the MVA Master Vision Apprentissage with high honors and the Agrégation in mathematics from ENS Paris-Saclay, underscoring a deep mathematical foundation. Based in Paris, France, he maintains a personal website to share his research and extend his engagement with the broader scientific community.
9 years of coding experience
Classe préparatoire aux grandes écoles aux Lazaristes
Licentiate degree, Mathématiques, Licentiate degree, Mathématiques at ENS Cachan
Master's degree, Mathématiques, Master's degree, Mathématiques at Université Paris Diderot
MVA Master Vision Apprentissage, High honors, MVA Master Vision Apprentissage, High honors at École Normale Supérieure Paris-Saclay