Contact Information
Affiliation: Associate 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 an Associate 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.