Professor Richard White BSc MSc PhD

Professor of Infectious Disease Modelling

About Richard White

Mathematical and statistical modelling of the transmission and control of infectious diseases


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.

He is Director of the TB Modelling and Analysis Consortium (TB MAC) and leads the LSHTM TB Modelling Group.

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 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 and Katie Atkins (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 100 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).

He is on the Editorial Board for STI, an Invited Editor for PNAS, and a permanent reviewer for Lancet Respiratory Medicine

Richard welcomes PhD proposals in TB modelling.

Research areas

  • Bacteria
  • Diagnostics
  • Disease control
  • Infectious disease policy
  • Methodology
  • Modelling
  • Public health
  • Social and structural determinants of health
  • Statistical methods


  • Demography
  • Epidemiology
  • Mathematical modelling
  • Statistics

Disease and Health Conditions

  • Infectious disease
  • Sexually transmitted disease
  • Tuberculosis


  • Latin America & Caribbean (all income levels)
  • Least developed countries: UN classification
  • Middle East & North Africa (all income levels)
  • North America
  • Sub-Saharan Africa (all income levels)
  • World


  • Botswana
  • Brazil
  • China
  • Kenya
  • Malawi
  • Netherlands
  • Qatar
  • South Africa
  • Switzerland
  • Tanzania
  • Uganda
  • United Kingdom
  • United States
  • Zambia
  • Zimbabwe

Other interests

  • Model Calibration
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