Professor Richard White
BSc MSc PhD
of Infectious Disease Modelling
Richard G White (BSc, MSc, PhD) 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.
Richard was awarded a BSc in Physics from Durham University and an MSc in Medical Demography from LSHTM. 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.
Richard is head of the Department of Infectious Disease Epidemiology with Katherine Fielding, serves on LSHTM's School Council, Finance and Development Committee, Research Govenance Committee, and Innovation Committtee.
Richard teaches on the mathematical modelling of the spread and control of infectious diseases in the UK and internationally. He organises the LSHTM Infectious Disease Modelling summer short course and MSc Module with Emilia Vynnycky (Public Health England), Adam Kucharski (MSc Module) and Nicky McCreesh (Short Course) (LSHTM).
He is co-author of the textbook An Introduction to Infectious Disease Modelling published by Oxford University Press.
Richard'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 around 120 peer-reviewed scientific publications. He is currently PI or LSHTM PI of 6 research grants: '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), the 'TB Modelling and Analysis Consortium' (BMGF), 'Methods for allocative efficiency of the Global Fund TB, HIV and Malaria Country Grants' (USAID), 'Data utilization and modelling to support TB control policy and practice in South Africa' (BMGF).
Richard welcomes PhD proposals in TB modelling.