Laurent Dinh is a research scientist at Google Brain Montréal. His research focus has been on deep generative models, probabilistic modeling, and generalization in deep learning. He's best known for his contribution in normalizing flows generative models, such as NICE and Real NVP, and in generalization in deep learning. He obtained his PhD in deep learning at Mila, under the supervision of Yoshua Bengio. Before that, he graduated from École Centrale Paris in Applied Mathematics and from École Normale Supérieure de Cachan in machine learning and computer vision.