Imperial College London


Faculty of MedicineSchool of Public Health

Professor of Global Health



+44 (0)20 7594 1150timothy.hallett




Norfolk PlaceSt Mary's Campus






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 serve on the PEPFAR Scientific Advisory Board and am a member of the editorial board of PLoS Medicine 


I co-direct the MSc course in Epidemiology and lecture on the Department's short course on Infectious Disease Modelling. 


I am also an Affiliate Associate Professor at the University of Washington, Department of Global Health.




Estimating Incidence Spreadsheet (AIDS, 2010)

Child Mortality Bias Estimation Model (Bulletin WHO, 2010)





Cremin I, McKinnon L, Kimani J, 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

Buttolph J, Inwani I, Agot K, et al., 2017, Gender-Specific Combination HIV Prevention for Youth in High-Burden Settings: The MP3 Youth Observational Pilot Study Protocol., Jmir Res Protoc, Vol:6

Cremin I, McKinnon L, Kimani J, et al., 2017, PrEP for key populations in combination HIV prevention in Nairobi: a mathematical modelling study., Lancet Hiv

Elmes J, Skovdal M, Nhongo K, et al., 2017, A reconfiguration of the sex trade: How social and structural changes in eastern Zimbabwe left women involved in sex work and transactional sex more vulnerable, Plos One, Vol:12, ISSN:1932-6203

Mangal TD, 2017, Joint estimation of CD4 progression and survival in untreated individuals with HIV-1 infection: A pooled analysis of data from 25 countries., Aids

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