Dr. Guy Lapalme, Université de Montréal
This project will explore new ways of customizing and translating the mass of daily information produced by Environment Canada (EC). This information in digital format is later transformed into weather and environmental forecasts, warnings and alerts that must be broadcast in real-time in at least two languages, in many different formats and in a way that takes location into account.
Dr. Yoshua Bengio, Université de Montréal
Statistical machine learning is an endeavor in which statisticians and computer scientists use computation to identify useful information from large amounts of data. Telecommunications, insurance and pharmaceutical companies use the team’s machine learning and data mining techniques to determine customer patterns, predict future customer behavior and better understand their needs. The project addresses some of the main practical and theoretical difficulties encountered when dealing with large datasets.
Dr. Jack A. Tuszynski , University of Alberta
Project CyberCell Inc.
Technology Innovations, LLC
National Institute for Nanotechnology
Cross Cancer Institute
McBride Career Group
Howard J. Greenwald P.C.
Multimedia Advanced Computational Infrastructure (MACI)
Canadian-European Research Initiative on Nanostructure (CERION)
Dr. Shelley Bull, University of Toronto
Complex traits, such as susceptibility to diabetes, cancer or tuberculosis, which vary in human and natural populations, are determined by multiple genetic and environmental factors that interact with one another in complicated ways. This interaction depends upon population characteristics as well as characteristics of the individual and the family.