Postdoctoral fellow: Dr. Maurizio Ceseri, Mathematics, Simon Fraser University
Lead faculty member: Dr. John Stockie, Mathematics, Simon Fraser University
This project aims to investigate the physical and biological processes that initiate sap flow in maple trees during early spring when maple sap is harvested. Our study will be centered around developing a mathematical model that captures both sap flow and heat transport in the porous wood tissue, and then investigating solutions using a combination of analytical and numerical techniques.
Postdoctoral fellow: Dr. Yijun Lou, Mathematics and Statistics, York University
Lead faculty member: Dr. Jane Heffernan, Mathematics and Statistics, York University
Genital herpes (GH), caused by Herpes simplex virus type 1 or 2 (HSV-1 or -2), is one of the most prevalent sexually transmitted diseases in the world. Currently, there is no effective treatment for GH, but a new vaccine Simplirix (by GSK), is currently in clinical trials. Simplirix has had some success in preventing disease, but only in females that are HSV-1 and -2 negative. Since oral herpes (OH, also caused by HSV-1 and -2) infection can occur at very early ages, vaccination against GH may be most effective in a childhood vaccination program.
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.
Postdoctoral Fellow: Dr. Yildiz Yilmaz, Dalla Lana School of Public Health, University of Toronto
Lead faculty member: Dr. Shelley Bull, Dalla Lana School of Public Health, University of Toronto
The objective of the project is to develop, evaluate and apply informative statistical methods to the task of identifying novel genes/pathways involved in breast cancer recurrence. A model for time to cancer recurrence using clinical, pathological, and molecular measures in the setting of high-dimensional genome-wide genetic scans will be developed that allows for a proportion of the patients to be long-term survivors.
Dr. Thomas Hillen, University of Alberta
Dr. Hermann Eberl, University of Guelph and Dr. John Stockie, Simon Fraser University
Bacterial biofilms are microbial depositions on immersed surfaces and are ubiquitous in natural and engineered environments. For example, they play a significant role in medical applications where they can grow on artificial implants and cause infections; they form dental plaques and contribute to tooth decay; they can be utilized to assist in clean-up of contaminated soils or groundwater aquifers; they accelerate corrosion of metal surfaces; and they are a main culprit behind contamination of drinking water systems and food processing equipment.
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)
Improving Genome Annotation, Molecular Structure and Interaction Prediction: An Algorithmic Study of Biomolecular Functions
Dr. Anne Condon , University of British Columbia
Dr. Fahima Nekka , Université de Montréal
Dr. Peter Swain , McGill University