Dr. Brand's research informs the risk analysis/management interface applied to the health sector. His methods-research aims to simplify and illuminate projections/forecasts of health impacts (using simple mathematical models), and to clarify the translation of uncertain evidence into warrants for health policy action (using simple decision analysis and risk perception insight). He was the MHA program director from July of 2015 to January 2017.
His applications of these methods have extended beyond uncertainty analysis to include (Bayesian) numerical methods for pooling information, and value of information analysis. In more recent research he has applied standard mathematical approximation techniques to a standard demography tool, namely the life-table. He has used the resulting approximations to effectively "break-open" the black-box calculations that characterize the Cause-Modified life-table. His follow-up work suggests that these heuristics and inter-relationships will help bring greater coherence, and in some cases greater rigor, to the disparate approaches that have been used (by various disciplines) to forecast long term population health impacts.