Yoshua Bengio is a Canadian researcher specializing in artificial intelligence, and a pioneer in deep learning. He was born in France in 1964, studied in Montreal, obtained his PhD in computer science from McGill University in 1991, and completed post-doctoral studies at MIT. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at Université de Montréal. Along with his duties as IVADO Scientific Director, he is also Scientific Director of Mila and the holder of the Canada Research Chair in Statistical Learning Algorithms. His research on AI earned him the Urgel-Archambault Prize in 2009, followed in 2017 by the Marie-Victorin Prize, and in 2019 by the Killam Prize and the A.M. Turing Award. He is Co-director of the CIFAR Learning in Machines & Brains Program. His main research ambition is to understand the principles of learning that yield intelligence. He supervises a large group of graduate students and post-doctoral fellows. Dr. Bengio’s research is widely cited (over 220,000 citations found by Google Scholar in October 2019, with an H-index over 149, and rising fast).