| email: | roweis (at) cs (dot) toronto (dot) edu |
| organization: | Department of Computer Science, University of Toronto, http://web.cs.toronto.edu/dcs/index.php |
| homepage: | http://www.cs.toronto.edu/~roweis/ |
| search externally: | Google Schoolar, CiteSeer, Live Search Academic, DBlife, Scirus |
Description
Sam Roweis is an Associate Professor in the Department of Computer Science at the University of Toronto. His research interests are in machine learning, data mining, and statistical signal processing. Roweis did his undergraduate degree at the University of Toronto in the Engineering Science program and earned his doctoral degree in 1999 from the California Institute of Technology working with John Hopfield.
He did a postdoc
with Geoff Hinton and Zoubin Ghahramani at the Gatsby Unit in London,
and was a visiting faculty member at MIT in 2005.
He has also worked at several industrial research labs including
Google, Bell Labs, Whizbang! Labs and Microsoft.
He is the holder of a
Canada Research Chair in Statistical Machine Learning, a Sloan
Research Fellowship, the winner of a Premier's Research Excellence
Award, and a Scholar of the Canadian Institute for Advanced Research.
Lectures:
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Neighbourhood Components Analysis and Metric Learning
as author at Learning to Compare Examples, 316 views |
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Neighbourhood Components Analysis
as author at Machine Learning Summer School 2006 - Taipei, 185 views |
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Machine Learning, Probability and Graphical Models
as author at Machine Learning Summer School 2006 - Taipei, 8074 views |
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Probabilistic Graphical Models
as author at Machine Learning Summer School 2005 - Canberra, 2847 views |
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