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.
- Canada Research Chair in Statistical Learning Algorithms.
- Founder and Scientific Director of Mila.
- Scientific Director of IVADO.
- CIFAR Fellow and Program Director (Learning in Machines and Brains).
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 holding the Canada Research Chair in Statistical Learning Algorithms, 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.
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 – 1993||Post-doctoral Fellow, AT&T Bell Laboratories, NJ, USA.|
Learning and Vision Algorithms | Larry Jackel and Yann LeCun’s group
|1991 – 1992||Post-doctoral Fellow, MIT, MA, USA.|
NSERC scholarship | Statistical Learning / Sequential Data
Department of Brain and Cognitive Sciences | Michael I. Jordan’s Group
|1988 – 1991||Ph.D. in Computer Science, McGill University, Montreal|
NSERC scholarship | Neural Networks and Markovian Models
|1986 – 1988||M.Sc. in Computer Science, McGill University, Montreal|
Speech Recognition with Statistical Methods
|1982 – 1986||B.Eng. in Computer Engineering, Honours, McGill University, Montreal|
Titles and distinctions (full list)
|2019 – present||Co-Chair of the AI Advisory Council, government of Canada|
|2018 – present||Founder and Scientific Director, Mila, the Quebec AI Institute|
|2018 – 2023||Chair, CIFAR AI (CCAI) ($1.25M)|
|2016 – present||Scientific Director, IVADO, the Data Valorization Institute|
|2016-2023||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 – present||Co-director, CIFAR LMB (Learning in Machines in Brains) program|
Previously called NCAP and originally led by Geoff Hinton, this program funded the initial breakthroughs in deep learning.
|2013 – present||Creator and General Chair, ICLR (International Conference on Learning Representations)|
|2012 – 2013||Awards Committee, Canadian 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 – present||Member of the board, Neural Information Processing Systems (NeurIPS) Foundation (Formerly NIPS)|
|2009||General 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.
|2008||Program Co-Chair, NeurIPS 2008|
|2005 – 2015||Industrial Research Chair, NSERC, 2005 – 2015|
|2004 – present||Senior Fellow, CIFAR (Canadian Institute For Advanced Research)|
|2000 – present||Canada Research Chair on Statistical Learning Algorithms|
Tier 2, 2000-2005 ; Tier 1, 2006 – present
|1999 – 2009||Member of the board, the Centre de Recherches Mathématiques (UdeM)|
|1993||Founder 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
|2019||A. M. Turing Award 2018, Association for Computing Machinery, awarded jointly with Geoffrey Hinton and Yann LeCun|
|2019||Killam Prize for natural sciences, Canada Council for the Arts|
|2019||IEEE CIS Neural Networks Pioneer Award, IEEE Computational Intelligence Society|
|2019||Prix d’excellence FRQNT, Fonds de recherche du Quebec – Nature et technologies|
|2018||Lifetime Achievement Award, Canadian AI Association|
|2018||Medal of the 50th Anniversary of the Ministry of International Relations and Francophonie|
|2017||Marie-Victorin Quebec Prize|
Highest distinction in the sciences for the province of Québec
|2017||Radio-Canada’s Scientist of the Year|
|2017||Member of the Royal Society of Canada|
|2017||Officer of the Order of Canada|
|2015||La Recherche 10 Discoveries That Changed Science 2015 For work on neural networks local minima.|
|2009||ACFAS Urgel-Archambault Prize|