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)





Bórquez A, Cori A, Pufall EL, 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 Med, Vol:13

Cooke GS, Hallett TB, 2016, HCV and HIV: shared challenges, shared solutions, Lancet Infectious Diseases, Vol:16, ISSN:1473-3099, Pages:755-756

Dimitrov DT, Boily M-C, Hallett TB, 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

Garnett GP, Hallett TB, Takaruza A, et al., 2016, Providing a conceptual framework for HIV prevention cascades and assessing feasibility of empirical measurement with data from east Zimbabwe: a case study, Lancet Hiv, Vol:3, ISSN:2352-3018, Pages:E297-E306

Hallett TB, Anderson S-J, Asante CA, et al., 2016, Evaluation of geospatial methods to generate subnational HIV prevalence estimates for local level planning, Aids, Vol:30, ISSN:0269-9370, Pages:1467-1474

More Publications