Press "Enter" to skip to content


Main titles and distinctions

  • A.M. Turing Award 2018.
  • Killam Prize in Natural Sciences 2019.
  • Fellow of the Royal Society.
  • Full Professor, Department of Computer Science and Operations Research, Université de Montréal.
  • Founder and Scientific Director of Mila.
  • Scientific Director of IVADO. 
  • CIFAR Fellow and Program Director (Learning in Machines and Brains).


Download the full CV

Short bio:

Yoshua Bengio is Professor in the Computer Science and Operations Research departments at
U. Montreal, founder and scientific director of Mila and of IVADO. He is a Fellow of the Royal Society of London and of the Royal Society of Canada, has received a Canada Research Chair and a Canada CIFAR AI Chair and is a recipient of the 2018 Turing Award for pioneering deep learning, is an officer of the Order of Canada, a member of the NeurIPS advisory board, co-founder and member of the board of the ICLR conference, and program director of the CIFAR program on Learning in Machines and Brains. His goal is to contribute to uncovering the principles giving rise to intelligence through learning, as well as favour the development of AI for the benefit of all.

Longer bio:

Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Following his studies in Montreal, culminating in a Ph.D. in computer science from McGill University, Professor Bengio did postdoctoral studies at the Massachusetts Institute of Technology (MIT) in Boston.

Since 1993, Yoshua Bengio has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. In addition to having held for its maximum duration a Canada Research Chair, he is also the founder and scientific director of Mila, the Quebec Institute of Artificial Intelligence, the world’s largest university-based research group in deep learning. In 2016 he also became the Scientific Director of IVADO and co-Chair of the Canada’s Advisory Council on AI in 2019.

His contribution to research is undeniable. In 2018, Yoshua Bengio is the computer scientist who collected the largest number of new citations in the world, thanks to his three books and some 500 publications.

His ultimate goal is to understand the principles that lead to intelligence through learning and his research has earned him multiple awards. In 2017, he was made an Officer of the Order of Canada and a Fellow of the Royal Society of Canada, in addition to receiving the Prix Marie-Victorin and being named Scientist of the Year by Radio-Canada. In 2018, he was awarded the 50th Anniversary Medal by Quebec’s Ministère des Relations internationales et de la Francophonie and the Lifetime Achievement Award from the Canadian AI Association. In 2019, he was awarded the Killam Prize, the IEEE CIS Neural Networks Pioneer Award, as well as the ACM A.M. Turing Award, “the Nobel Prize of Computing”, jointly with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. These honours reflect the profound influence of his work on the evolution of our society.

Concerned about the social impacts of this new technology, he actively contributed to the development of the Montreal Declaration for Responsible Development of Artificial Intelligence.

Selected Publications

Goodfellow, Ian J., Yoshua Bengio, and Aaron Courville (2016). Deep Learning. MIT Press.

Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio (2015). “Neural Machine Translation by Jointly Learning to Align and Translate”. In: ICLR’2015, arXiv:1409.0473.

LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton (2015). “Deep Learning”. In: Nature 521.7553, pp. 436–444.

Dauphin, Yann, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio (2014). “Identifying and attacking the saddle point problem in high-dimensional non-convex optimization”. In: NIPS’2014, arXiv:1406.2572.

Montufar, Guido F., Razvan Pascanu, KyungHyun Cho, and Yoshua Bengio (2014). “On the Number of Linear Regions of Deep Neural Networks”. In: NIPS’2014, arXiv:1402.1869.

Goodfellow, Ian J., Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio (2014). “Generative Adversarial Networks”. In: NIPS’2014, arXiv:1406.2661.

Pascanu, Razvan, Guido Montufar, and Yoshua Bengio (2014). “On the number of inference regions of deep feed forward networks with piece-wise linear activations”. In: International Conference on Learning Representations 2014 (Conference Track),arXiv:1305.6663.

Yoshua Bengio, Li Yao, Guillaume Alain, and Pascal Vincent (2013). “Generalized Denoising Auto-Encoders as Generative Models”. In: NIPS’2013, arXiv:1305.6663.


1992 – 1993Post-doctoral Fellow, AT&T Bell Laboratories, NJ, USA.
Learning and Vision Algorithms​ | ​Larry Jackel and Yann LeCun’s group

1991 – 1992Post-doctoral Fellow, MIT, MA, USA.
NSERC scholarship | Statistical Learning / Sequential Data
Department of Brain and Cognitive Sciences | Michael I. Jordan’s Group
1988 – 1991Ph.D. in Computer Science, McGill University, Montreal
NSERC scholarship | Neural Networks and Markovian Models
1986 – 1988M.Sc. in Computer Science, McGill University, Montreal
Speech Recognition with Statistical Methods
1982 – 1986B.Eng. in Computer Engineering, Honours, McGill University, Montreal

Titles and distinctions (full list)

2019 – presentCo-Chair of the AI Advisory Council, government of Canada
2018 – presentCo-founder and Scientific Director, Mila, the Quebec AI Institute
2018 – 2023Chair, CIFAR AI (CCAI) ($1.25M)
2016 – presentScientific Director, IVADO, the Data Valorization Institute

Recipient of CFREF Grant ($93.6M), 2016 – 2023
Leading applicant for Data Serving Canadians: Deep Learning and Optimization for the Knowledge Revolution; the largest grant ever received at U.Montreal.
2014 – presentCo-director, CIFAR LMB (Learning in Machines in Brains) program
Previously called NCAP and originally led by Geoff Hinton, this program funded the initial breakthrough in deep learning.
2013 – presentco-founder and member of the board of ICLR (International Conference on Learning Representations)
2012 – 2013Awards CommitteeCanadian Association for Computer Science
Also member of the NeurIPS 2012 and ICML 2016 committees for best paper awards, and NeurIPS committees for choosing the next program chairs 2013-2018.
2010 – presentMember of the advisory board, Neural Information Processing Systems (NeurIPS) Foundation (Formerly NIPS)
2009General Chair, NeurIPS
NeurIPS is a very high-level conference – the most important in the field (> 1000 submissions) – with reviewing and acceptance criteria comparing favorably to the best journals (acceptance rate between 20% and 25%). Having 56 papers published in NeurIPS over the years puts me among the most prolific contributors to the NeurIPS community.
2008Program Co-Chair, NeurIPS 2008
2005 – 2015Industrial Research ChairNSERC, 2005 – 2015
2004 – presentSenior FellowCIFAR (Canadian Institute For Advanced Research)
2000 – 2019Canada Research Chair on Statistical Learning Algorithms
Tier 2, 2000-2005 ; Tier 1, 2006 – 2019
1999 – 2009Member of the board, the Centre de Recherches Mathématiques (UdeM)
1993Founder and Scientific Director, Mila – Quebec Artificial Intelligence Institute
Formerly the LISA (founded 1993), Mila brings together the researchers of Université de Montréal and McGill University in an independent non-profit organization. With 300 researchers, including 15 faculty, it is the largest academic center for deep learning research in the world, yielding pioneering papers in the field, including the introduction of deep learning (2006), curriculum learning (2009), showing the power of ReLUs for deeper nets (2011), and the breakthroughs brought by GANs and neural machine translation (2014).

Prizes and Awards

2019A. M. Turing Award 2018, Association for Computing Machinery, awarded jointly with Geoffrey Hinton and Yann LeCun
2019Killam Prize for natural sciences, Canada Council for the Arts
2019IEEE CIS Neural Networks Pioneer Award, IEEE Computational Intelligence Society
2019Prix d’excellence FRQNT, Fonds de recherche du Quebec – Nature et technologies
2018Lifetime Achievement Award, Canadian AI Association
2018Medal of the 50th Anniversary of the Ministry of International Relations and Francophonie
2017Marie-Victorin Quebec Prize
Highest distinction in the sciences for the province of Québec
2017Radio-Canada’s Scientist of the Year
2017Member of the Royal Society of Canada
2017Officer of the Order of Canada
2015La Recherche 10 Discoveries That Changed Science 2015 For work on neural networks local minima.
2009ACFAS Urgel-Archambault Prize