Imperial College London


Faculty of MedicineSchool of Public Health

Research Associate







Praed StreetSt Mary's Campus





I am an infectious disease modeller with a background in mathematics and statistics. I use Bayesian methods to study the transmission of bacterial pathogens, including Group A Streptococcus and the causative agents of gonorrhoea and bubonic plague. In particular, I am interested in the spread and control of antimicrobial resistance, as well as broader questions around the natural history, evolution and transmission dynamics of pathogenic bacteria.

Selected Publications

Journal Articles

Knock ES, Whittles LK, Perez-Guzman PN, et al., 2020, Reproducible parallel inference and simulation of stochastic state space models using odin, dust, and mcstate, Wellcome Open Research, Vol:5, Pages:288-288

Whittles LK, White PJ, Didelot X, 2020, Assessment of the potential of vaccination to combat antibiotic resistance in gonorrhea: a modeling analysis to determine preferred product characteristics, Clinical Infectious Diseases, Vol:71, ISSN:1058-4838, Pages:1912-1919

Lewnard JA, Whittles LK, Rick A-M, et al., 2020, Naturally-acquired protection against upper respiratory symptoms involving group A Streptococcus in a longitudinal cohort study, Clinical Infectious Diseases, Vol:71, ISSN:1058-4838, Pages:e244-e254

Whittles L, White P, Didelot X, 2019, A dynamic power-law sexual network model of gonorrhoea outbreaks, PLOS Computational Biology, Vol:15, ISSN:1553-734X

Whittles L, White PJ, Paul J, et al., 2018, Epidemiological trends of antibiotic resistant gonorrhoea in the United Kingdom, Antibiotics, Vol:7, ISSN:2079-6382

Whittles L, Didelot X, Grad Y, et al., 2018, Testing for gonorrhoea should routinely include the pharynx, Lancet Infectious Diseases, Vol:18, ISSN:1473-3099, Pages:716-717


Knock E, Whittles L, Lees J, et al., 2020, Report 41: The 2020 SARS-CoV-2 epidemic in England: key epidemiological drivers and impact of interventions

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