Yoshua Bengio  


Yoshua Bengio
Full Professor
Department of Computer Science and Operations Research
Canada Research Chair in Statistical Learning Algorithms
<my first name> (dot) <my last name> (at sign) umontreal (dot) ca

 

 

Curriculum Vitae


More complete, pdf version, here, including publication list, last updated June, 2015.

Summary of CV:

EDUCATION
Ph.D. Computer Science, @ McGill University, 1991
M.Sc. Computer Science, @ McGill University, 1988

PROFESSIONAL WORK
Full professor 2002- @(DIRO, UdeM)
Associate professor 1997-2002 @(DIRO, UdeM)
Assistant professor 1993-1997 @(DIRO, UdeM)
Researcher @ AT&T Bell Labs, 1992-93 (and continued collaboration until 1997), with Yann Le Cun, Vladmir Vapnik, Larry Jackel, Leon Bottou, Patrick Haffner, Patrice Simard, Isabelle Guyon, and John Denker.
Postdoc @ MIT (with Mike Jordan), 1991-92

TITLES AND DISTINCTIONS
Full Professor, University of Montreal, department of computer science and operations research (DIRO)
Canada Research Chair on Statistical Learning Algorithms since 2000
NSERC-Ubisoft Industrial Research Chair
Member of the NIPS Foundation board
Recipient of the 2009 Urgel Archambault Prize from ACFAS (for researchers in physics, mathematics, computer science, or engineering)
Fellow of the Canadian Institute for Advanced Research (CIFAR) and co-director of its NCAP program (Neural Computation and Adaptive Perception)
Fellow of CIRANO (Interuniversity Centre of Research, Liaison, and Transfer of Knowledge on the Analysis of Organizations)

PROFESSIONAL INVOLVEMENT
Co-creator and General Chair for ICLR since 2013
General Chair for NIPS'2009
Program Chair for NIPS'2008
Co-organizer of the Learning Workshop (a.k.a. as the "Snowbird Workshop" since it is often held there) since 1998 with Yann LeCun
Action Editor, Journal of Machine Learning Research
Editor, Foundations and Trends in Machine Learning
Previously associate editor, Machine Learning Journal, IEEE Transactions on Neural Networks
Previously leader of the MITACS Canadian research group on Statistical Learning of Complex Data with Complex Distributions
Founder and head of the Montreal Institute for Learning Algorithms (MILA), University of Montreal
Ex-Member of the board of the Centre de Recherches Mathématiques
Co-founder of a spin-off company winner of an entrepreurship prize: Apstat Technologies

 

Bio sketch

Yoshua Bengio received a PhD in Computer Science from McGill University, Canada in 1991. After two post-doctoral years, one at M.I.T. with Michael Jordan and one at AT&T Bell Laboratories with Yann LeCun and Vladimir Vapnik, he became professor at the Department of Computer Science and Operations Research at Université de Montréal. He is the author of two books and more than 200 publications, the most cited being in the areas of deep learning, recurrent neural networks, probabilistic learning algorithms, natural language processing and manifold learning. He is among the most cited Canadian computer scientists and is or has been associate editor of the top journals in machine learning and neural networks. Since '2000 he holds a Canada Research Chair in Statistical Learning Algorithms, since '2006 an NSERC Industrial Chair, since '2005 his is a Senior Fellow of the Canadian Institute for Advanced Research and since 2014 he co-directs its program focused on deep learning. He is on the board of the NIPS foundation and has been program chair and general chair for NIPS. He has co-organized the Learning Workshop for 14 years and co-created the new International Conference on Learning Representations. His current interests are centered around a quest for AI through machine learning, and include fundamental questions on deep learning and representation learning, the geometry of generalization in high-dimensional spaces, manifold learning, biologically inspired learning algorithms, and challenging applications of statistical machine learning.