Leadership Team

Yoshua Bengio

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 the Université de Montréal. He is also Scientific Director of Mila, Scientific director of IVADO and Canada Research Chair in Statistical Learning Algorithms, a Canada CIFAR AI Chair and Co-Director of the CIFAR Learning in Machines & Brains program.

In 2019, he received the ACM A.M. Turing Prize, considered the “Nobel Prize of Computer Science” along with Geoffrey Hinton and Yann LeCun for their advances in conceptual foundations and engineering that have made deep neural networks an essential component of computer science.

His main research ambition is to understand principles of learning that yield intelligence. He supervises a large group of graduate students and postdocs. His research is widely cited (over 250 000 citations found by Google Scholar in January 2020, with an H-index over 150, and rising fast).

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Yoshua Bengio
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Aaron Courville

Aaron Courville is an assistant professor in the Department of Computer Science and Operations Research (DIRO) at the University of Montreal, and member of Mila — Quebec Artificial Intelligence Institute and a Canada CIFAR AI Chair. His current research interests focus on the development of deep learning models and methods. He is interested in developing probabilistic models and novel inference methods. His applications mainly focus on computer vision, however he is also interested in domains such as natural language processing, audio signal processing, speech understanding and just about any other artificial-intelligence-related task.

Pierre-Luc Bacon

Pierre-Luc Bacon is an assistant professor at University of Montreal's DIRO. He is also a member of Mila Quebec, the Institute for Data Valorization (IVADO) and holds a Facebook CIFAR AI chair. He obtained his PhD in computer science at McGill University and pursued a postdoc at Stanford University. His research is broadly concerned by the problem of learning to take decisions over long time spans and its ramifications in optimization and representation learning.

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“The #DLRL Summer School is a place of learning at the highest scientific level in world-changing research areas but also an opportunity for networking, creating connections which can stay for life and fuel future collaborations.”

Yoshua Bengio

CIFAR Learning in Machines & Brains
Canada CIFAR AI Chair; Mila; Université de Montréal
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“The DLRL Summer School is an unparalleled opportunity for these young people to both learn from, and network with, the scientists who can help them launch their careers in AI.”

Blake Richards

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Mila, McGill University
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“Thanks to DLRL Summer School, I extended my personal network by meeting other student attendees like Raquel Urtasun, Mark Schmidt and Frank Wood, who are now all profs at Canadian universities and world-renowned AI researchers.”

Hugo Larochelle

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Mila, Université de Montréal
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“Beyond the learning and networking opportunities, [the #DLRL] showcases the rich AI ecosystem we enjoy in Canada. It's been a major factor in encouraging some of the brightest minds to launch their research careers here.”

Graham Taylor

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Vector Institute, University of Guelph
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“[The #DLRL] is a wonderful opportunity to bring the AI leaders of tomorrow together for a fun and immersive learning experience. It’s also a great way to showcase the depth of AI knowledge and expertise that exists in Canada.”

Alona Fyshe

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Amii, University of Alberta
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