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. He was awarded a Methodology Research Fellowship from the UK Medical Research Council in 2009 and the Director's Award for Outstanding Contribution to Research in 2020.
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), Sophie Rhodes (MSc Module) and Nicky McCreesh (Short Course).
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 150 peer-reviewed scientific publications. He is currently PI or LSHTM PI on around 5 research grants including:
'Modeling of TB vaccine investments and impact' (BMGF), Improving scientific and public health decision making by developing technologies to increase use of robust methods to calibrate and analyse complex mathematical models (Wellcome), Full public health value of TB vaccines (WHO), Multi-disciplinary research for the strategic and translational development of a late-stage tuberculosis vaccine candidate (SET Bloomsbury), the 'TB Modelling and Analysis Consortium' (BMGF),).
Richard currently supervises PhD students estimating the global impact of new TB vaccines, developing new modelling methods to identify optimal vaccine dose, and gender differences in TB.
He welcomes new PhD proposals in TB modelling.