Christina has worked at The University of Westminster, and Imperial College before joining The London School of Hygiene and Tropical Medicine in October 2010. Her background is research grant administration, and project management and from June 2015 she will be the Administrator for the Consortium.
Rein Houben is a TB epidemiologist and a lecturer at the London School of Hygiene and Tropical Medicine. His research focuses on the molecular epidemiology of TB and the impact of HIV/ART on general and molecular TB epidemiology. He has spent 3 years in rural Malawi running TB field studies for the Karonga Prevention Study. Now based in London he works as the consortium epidemiologist for TB-Mac.
In that function he provides epidemiological input to the modelling questions, collates and communicates existing quantitative evidence as well as initiates and coordinates the collection of new data.
Richard is Professor of Infectious Disease Modelling in the Centre for the Mathematical Modelling of Infectious Diseases and the TB Centre at the London School of Hygiene and Tropical Medicine. He was awarded a PhD in infectious disease modelling in 2006, led the establishment of the LSHTM’s Centre for the Mathematical Modelling of Infectious Diseases in 2007, and was awarded a Methodology Research Fellowship from the Medical Research Council in 2009. He leads the LSHTM TB Modelling Group.
Dr White’s research focus is the mathematical and statistical modelling of the transmission and control of infectious diseases, particularly TB and HIV. He has co-authored over 100 peer-reviewed scientific publications and an introductory infectious disease modelling book. He is currently PI/LSHTM PI of six research grants: this TB Modelling and Analysis Consortium, Determining the importance of different locations to Mycobacterium tuberculosis transmission in high tuberculosis burden settings (MRC), A Clinical Trial of a Correlate of Risk Targeted Screen & Treat Strategy to Impact TB Control (BMGF), The development of a mathematical modelling framework to predict the best dose in humans for TB vaccines using animal data (Aeras), 'Methods for allocative efficiency of the Global Fund TB, HIV and Malaria Country Grants' (USAID), and 'Data utilization and modelling to support TB control policy and practice in South Africa' (BMGF).