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., 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., Cohort profile: documenting and explaining the HIV decline in East Zimbabwe: the Manicaland General Population Cohort, Bmj Open, ISSN:2044-6055
et al., 2017, The potential impact and cost of focusing HIV prevention on young women and men: A modeling analysis in western Kenya, Plos One, Vol:12, ISSN:1932-6203, Pages:e0175447-e0175447
et al., 2017, The impact of HCV therapy in a high HIV-HCV prevalence population: A modeling study on people who inject drugs in Ho Chi Minh City, Vietnam, Plos One, Vol:12, ISSN:1932-6203, Pages:e0177195-e0177195
et al., 2017, Gender-Specific Combination HIV Prevention for Youth in High-Burden Settings: The MP3 Youth Observational Pilot Study Protocol, Jmir Research Protocols, Vol:6, ISSN:1929-0748, Pages:96-111