I am based at the Department of Infectious Disease Epidemiology. My work with the Applied HIV Epidemiology research group centres on the development and application of mathematical models for interpreting surveillence data, analyzing control trials and planning interventions. The overall aim of this research is to come to conclusions about the optimal use of limited resources in the response to HIV epidemic worldwide.
I direct the HIV Modelling Consortium, which is a network epidemiologists, mathematical modellers and health-economists. I also work with UNAIDS and the Reference Group on Estimates, Modelling and Projections in developing the methods for calculating international AIDS statistics.
I am also an Affiliate Associate Professor at the University of Washington, Department of Global Health.
McGillen JB, Anderson SJ, Hallett TB, 2017, Introducing optimism to models of resource allocation to reduce HIV incidence - Authors' reply., Lancet Hiv, Vol:4
et al., 2017, Community-based screening and treatment for chronic hepatitis B in sub-Saharan Africa - Authors' reply., Lancet Glob Health, Vol:5
et al., 2016, The Incidence Patterns Model to Estimate the Distribution of New HIV Infections in Sub-Saharan Africa: Development and Validation of a Mathematical Model, Plos Medicine, Vol:13, ISSN:1549-1676
Cooke GS, Hallett TB, 2016, HCV and HIV: shared challenges, shared solutions, Lancet Infectious Diseases, Vol:16, ISSN:1473-3099, Pages:755-756
et al., 2016, How Much Do We Know about Drug Resistance Due to PrEP Use? Analysis of Experts' Opinion and Its Influence on the Projected Public Health Impact, Plos One, Vol:11, ISSN:1932-6203