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., HIV Prevention Where it is Needed Most: Comparison of Strategies for the Geographical Allocation of Interventions, Journal of the International Aids Society, ISSN:1758-2652
et al., Including PrEP for key populations in combination HIV prevention: a mathematical modelling analysis of Nairobi as a case-study, Lancet Hiv, ISSN:2405-4704
et al., National responses to global health targets: Exploring policy transfer in the context of the UNAIDS '90-90-90' treatment targets in Ghana and Uganda, Health Policy and Planning, ISSN:1460-2237
et al., Projections of Non-Communicable Disease and Health Care Costs Among HIV-Positive Persons in Italy and the U.S.A: A Modelling Study, Plos One, ISSN:1932-6203
et al., Cardiovascular disease prevention policy in HIV: recommendations from a modelling study, Clinical Infectious Diseases, ISSN:1058-4838