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Project Leader(s): 

Postdoctoral fellow: Dr. Majid Jaberi-Douraki, Mathematics and Statistics, York University

Lead faculty member: Dr. Seyed Moghadas, Mathematics and Statistics, York University

A major pharmaceutical intervention for management of many infectious diseases is the use of antiviral drugs. However, the rise of drug resistance poses significant threats to the effectiveness of drugs. This research proposes to determine optimal treatment strategies, through the development of population dynamical models for disease transmission and control, which can minimize the effect of resistance emergence in the population. This work will primarily focus on influenza infection, which still inflicts substantial morbidity, mortality, and socioeconomic costs worldwide.

Project Leader(s): 

Dr. Yoshua Bengio, Université de Montréal

Project team: 
Dr. Hugh Chipman, Acadia University
Dr. Dale Schuurmans, University of Alberta
Dr. Pascal Vincent, Université de Montréal
Dr. Shai Ben-David, University of Waterloo
Funding period: 
February 25, 2022 - March 31, 2021

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.

Project Leader(s): 

Dr. Jack A. Tuszynski , University of Alberta

Project team: 
Dr. Thoms Hillen, (University of Alberta)
Dr. Gerda de Vries, (University of Alberta)
Dr. Michael Y. Li, (University of Alberta)
Dr. D. Peter Tieleman, (University of Calgary)
Dr. Lukasz Kurgan, (University of Alberta)
Dr. Eric Cytrynbaum, (University of British Columbia)
Dr. Stephane Portet, (University of Manitoba)
Dr. Siv Sivaloganathan, (University of Waterloo)
Dr. Roderick Melnik, (Wilfrid Laurier University)
Funding period: 
July 1, 2021 - March 31, 2021