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.
et al., 2019, Scaling up prevention and treatment towards the elimination of hepatitis C: a global mathematical model., Lancet
et al., 2019, The impact and cost-effectiveness of combined HIV prevention scenarios among transgender women sex-workers in Lima, Peru: a mathematical modelling study., Lancet Public Health
et al., 2019, The influence of constraints on the efficient allocation of resources for HIV prevention: a modelling study., Aids
et al., 2019, HIV prevention cascades: a unifying framework to replicate the successes of treatment cascades, Lancet Hiv, Vol:6, ISSN:2352-3018, Pages:E60-E66
et al., 2018, The importance of local epidemic conditions in monitoring progress towards HIV epidemic control in Kenya: a modelling study, Journal of the International Aids Society, Vol:21, ISSN:1758-2652