Contact Information
Affiliation: Professor,
School of Pharmacy,
University of Waterloo
Address: 10A Victoria St. S, Room 3008,
Kitchener, N2G 1C5, Canada
Email: wwlwong[~at~]uwaterloo.ca
School of Pharmacy,
University of Waterloo
Address: 10A Victoria St. S, Room 3008,
Kitchener, N2G 1C5, Canada
Email: wwlwong[~at~]uwaterloo.ca
Short Bio
William W.L. Wong, PhD, is a Professor at the School of Pharmacy, University of Waterloo. He is also appointed as Applied Public Health Chair by Canadian Institutes of Health Research (CIHR). He serves as a member of the Ontario Health Technology Advisory committee (OHTAC) by Ontario Health (Quality). He specifies, develops and maintains decision models for health technologies assessment, cost-effectiveness analysis, and pharmacoeconomics evaluation studies.
Dr. Wong completed his Master of Mathematics and PhD Degrees in Computer Science at the University of Waterloo, and a Postdoctoral Fellowship in Medical Decision Making at the University of Toronto.
Dr. Wong’s research focuses on infectious diseases modeling, health services and outcomes research, particularly in hepatitis B and C. His health services and outcomes research interests include quality of life research, costing and return on investment. Methodology research interests include advanced decision-analytic modeling techniques (such as discrete event simulation models and agent-based models) for health technology assessment, cost-effectiveness analysis, and pharmacoeconomics evaluation studies.
Dr. Wong completed his Master of Mathematics and PhD Degrees in Computer Science at the University of Waterloo, and a Postdoctoral Fellowship in Medical Decision Making at the University of Toronto.
Dr. Wong’s research focuses on infectious diseases modeling, health services and outcomes research, particularly in hepatitis B and C. His health services and outcomes research interests include quality of life research, costing and return on investment. Methodology research interests include advanced decision-analytic modeling techniques (such as discrete event simulation models and agent-based models) for health technology assessment, cost-effectiveness analysis, and pharmacoeconomics evaluation studies.