Department of Computer Science and Operations Research
University of Montreal
His current research interests focus on the development of Deep Learning models and methods. He is particularly interested in the study of systematic generalization within neural networks, but he is also interested in deep generative model and multimodal ML with applications such as computer vision and natural language processing. Aaron holds a CIFAR Canadian AI chair and his research has been supported by Microsoft Research, Hitachi, Samsung and a Google Focussed Research Award.