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Dr. Brand's research informs risk analysis and management interfaces applied to the health sector. His methodological research aims to simplify and illuminate projections and forecasts of health impacts using simple mathematical models. He seeks to clarify the translation of uncertain evidence that warrants health policy action through decision analysis and insights on risk perception. He served as the MHA program director from July 2015 to January 2017. His applications of these methods have extended uncertainty analysis to include Bayesian numerical methods for pooling information and value of information analysis. His recent research has applied standard mathematical approximation techniques to a demographic tool known as the life-table, allowing for effective approximations that characterize Cause-Modified life-tables. Follow-up work suggests that heuristics regarding inter-relationships can help provide greater coherence and rigor in the disparate approaches used across disciplines to forecast long-term population health impacts.
Telfer School of Management • Ottawa, ON, Canada
Teaching and conducting research in management with a focus on risk analysis and mathematical modeling in health policy.
Department of History