Tony is an epidemiologist and public health medicine specialist. He is committed to answering questions about which public health interventions will achieve the greatest improvements in health and social outcomes, reduce inequalities in health, and do so cost-effectively. His research covers a range of topic areas, intersected with methodological advancements. Whilst principally an epidemiologist, he uses and combines methods from multiple disciplines: biostatistics, economics, econometrics, and computer and data science.
Tony is Director of the Population Interventions (PI) Unit within the Centre for Epidemiology and Biostatistics at the Melbourne School of Population and Global Health. PI aims to:
"provide robust evidence on the health and cost impacts of population interventions, through causal inference and simulation approaches from epidemiology, economics and data science."PI includes projects using contemporary epidemiological and econometric methods applied to existing data (e.g. the impact of Health Star Rating food labeling on consumer purchasing and food industry formulation), through to projects using simulation models to estimate the health gains and cost impacts of interventions such as tobacco tax, dietary counseling, etc. He is collaborating with the Institute of Health Metrics (University of Washington) and University of Otago to build next-generation macro-simulation models (i.e. VIVARIUM), that will intersect easily with Global Burden of Disease data to allow multi-country evaluations.
From 1998 to 2010 Tony was based at the University of Otago, Wellington New Zealand, leading:
- the pioneering of linking census to mortality data (the New Zealand Census-Mortality Study; NZCMS), commenced during his PhD in 1998 to 2001, to study trends over time in health inequalities and the influence of tobacco and other factors on population health
- the Health Inequ