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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 |
Profile
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Yoshua Bengio is Full Professor of the Department of Computer
Science and Operations Research, head of the Machine Learning
Laboratory (LISA),
CIFAR Fellow in the Neural
Computation and Adaptive Perception program, Canada Research Chair in Statistical Learning
Algorithms, and he also holds the NSERC-CGI industrial chair. His main research
ambition is to understand principles of learning that yield
intelligence. He teaches a graduate course in Machine Learning (IFT6266) and
supervises a large group
of graduate students and post-docs. His research is
widely cited (over a 1000 citations found by CiteSeer's Research Index
in 2006). Yoshua Bengio is currently action editor for the Journal of Machine Learning Research,
editor for Foundations
and Trends in Machine Learning, and has been associate editor for
the Machine
Learning Journal and the IEEE
Transactions on Neural Networks. Yoshua Bengio is Program Co-Chair for NIPS'2008 (NIPS is the
flagship
conference in the areas of learning algorithms and neural computation).
Since 1999, he has been co-organizing the Learning
Workshop with Yann Le Cun. He has also organized or co-organized numerous
other events, most recently the NIPS'2007
Deep Learning Workshop.
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Contact
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(best way to reach me): <my first name> (dot) <my last name> (at sign) umontreal (dot) ca Phone: Office: 514 343 6804 Department Fax: 514 343 5834 Cell phone: upon request Snail-mail: Regular mail should go to this post-office box: Département d’Informatique et de recherche opérationnelle Université de Montréal, P.O. Box 6128, Centre-Ville Branch Montréal (QC), H3C 3J7, Canada Express mail should go to this street address: Département d’Informatique et de recherche opérationnelle Université de Montréal, 2920 chemin de la Tour, suite 2194, Montréal (QC), H3T 1J4, Canada In person: 2920 chemin de la Tour, Montréal, Pavillon André-Aisenstadt, 3rd floor, office in room 3339 or lab in room 3256 |



