skip to primary navigationskip to content

Cambridge Infectious Diseases

An Interdisciplinary Research Centre at the University of Cambridge

Studying at Cambridge


Chris Illingworth


  • Virology
  • Evolution
  • Pathogen Evolution
  • Bioinformatics


  • Mathematical modelling
  • Computational modelling

Key Publications

Kemp, S. A., Collier, D. A., Datir, R. P., Ferreira, I. A. T. M., Gayed, S., Jahun, A., et al. (2021). SARS-CoV-2 evolution during treatment of chronic infection. Nature, 1–26.

Lumby, C. K., Zhao, L., Breuer, J., & Illingworth, C. J. (2020). A large effective population size for established within-host influenza virus infection. eLife, 9, 217–17.

Illingworth, C. J., Raghwani, J., Serwadda, D., Sewankambo, N. K., Robb, M. L., Eller, M. A., et al. (2020). A de novo approach to inferring within-host fitness effects during untreated HIV-1 infection. PLoS Pathogens, 16(6), e1008171–26.

Lumby, C. K., Nené, N. R., & Illingworth, C. J. (2018). A novel framework for inferring parameters of transmission from viral sequence data. PLoS Genetics, 14(10), e1007718.

Sobel Leonard, A., McClain, M. T., Smith, G. J. D., Wentworth, D. E., Halpin, R. A., Lin, X., et al. (2017). The effective rate of influenza reassortment is limited during human infection. PLoS Pathogens, 13(2), e1006203–26.