Key Partners

In order to maximise our research and enlarge the core capacity of the Consortium, the Secretariat has brought together leading research groups from complementary disciplines as key partners. These groups include leading academics from Harvard School of Public Health, University College London, University of Bristol, and University of York. 

The Modelling Consortium also have an agreement with the ALPHA Network, based at London School of Hygiene and Tropical Medicine, concerning requests for the production of aggregate comparative statistics from pooled harmonised data sets, which can be effected through the Secretariat and results made available to HIV Modelling Consortium members.

Harvard School of Public Health


    Professor Joshua Salomon

    Joshua Salomon is Professor of Global Health in the Harvard School of Public Health (Department of Global Health and Population) and a researcher in the Center for Health Decision Science. He is an internationally-recognised leader in population health measurement and in the development of methods for epidemiological and economic modelling. Professor Salomon led the work in the Global Burden of Disease 2010 study to estimate disability weights from all diseases. His research group has considerable experience in using many of the modelling approaches that are relevant to the Consortium’s work packages–particularly in the measurement of population health status and health valuations modelling, forecasting health outcomes and disease burden, and in evaluating impact and cost-effectiveness of current and future health interventions. Professor Salomon has also extensive experience in evaluating policies for HIV/AIDS, and other major global health challenges.

University College London


    Professor Andrew Phillips

    Andrew Phillips is Professor of Epidemiology and Biostatistics at the University College London. He is a leading epidemiologist with a longstanding involvement in European HIV clinical cohorts. His research expertise will be drawn upon in the course of the work of the Consortium. He has developed the HIV Synthesis Model, which includes a highly detailed representation of within-host progression of HIV and the development of drug resistance. Embedded within a network of sexual partnerships to simulate HIV transmission, the model is strategically placed to rapidly address questions pertaining to drug regimens, the acquisition and transmission of drug resistance, the use of diagnostics, and strategies for patient monitoring.

University of Bristol


    Professor Peter Vickerman

    Peter Vickerman is a Professor in Infectious Disease Modelling at the University of Bristol. He specialises in using mathematical models to understand and explore the impact or costs-effectiveness of interventions to reduce the transmission of HIV and associated co-infections (including hepatitis C, hepatitis B, and other STIs) especially among high-risk populations such as sex workers, men who have sex with men, and people who inject drugs. His research includes understanding the implications of behavioural and biological data uncertainty on model impact and cost-effectiveness projections, exploring different methods of handling these uncertainties, (especially through the use of Bayesian methods), and modelling how new interventions affect an individual’s risk behaviour, and the subsequent transmission of different infections. He has extensive experience of conducting collaborative research with organisations in Asia (India, Pakistan and Bangladesh), sub-Saharan Africa (South Africa, Tanzania and Benin), Eastern Europe (Ukraine, Belarus and Russia) and the UK. He is the PI of a number of mathematical modelling projects funded by Bill and Melinda Gates Foundation, the MRC, Wellcome, World Bank and WHO.

University of York


    Professor Mark Sculpher

    Mark Sculpher is Professor of Health Economics and Director of the Programme on Economic Evaluation and Health Technology Assessment. He is also Deputy Director of the Policy Research Unit in Economic Evaluation of Health and Care Interventions (EEPRU). Mark has worked on economic evaluations of a range of technologies including heart disease and various cancers. He has also contributed to methods in the field, in particular relating to decision analytic modelling and handling uncertainty.

London School of Hygiene and Tropical Medicine / ALPHA Network


    Professor Basia Zaba

    The ALPHA network ( brings together data from community-based longitudinal HIV studies in sub-Saharan Africa.The project links existing African HIV cohort studies in 10 sites across 6 countries in Africa, including Tanzania, Malawi, Uganda and South Africa and Zimbabwe. Each cohort has collected extensive data on HIV prevalence, incidence, mortality, and sexual behaviour. Comparative studies and meta-analyses undertaken on comparable data sets have been highly utilised by international organisations for designing and monitoring interventions and to inform epidemiological forecasting. These longitudinal data are a unique resource for the calibratation and parameterisation of population-level mathematical models across the geographic settings represented by ALPHA.