I am a Statistician and Mathematical Modeller Research Fellow in the Department of Infectious Disease Epidemiology. I am also involved with the Statistics, Modelling and Economics Department at Public Health England.
I have a number of years experience working on a wide range of projects across government and academia in defence and health.
I studied mathematics and statistics at the University of Newcastle-Upon-Tyne and obtained a PhD in applied probability from the University of Liverpool. After working for the Ministry of Defence for several years, applying novel Bayesian Inference ideas, I moved back into academia and the field of public health in 2010.
My general fields of interest include:
- Operational research
- Health economics
- Survival analysis and multistate models
- Small area estimation
My current methodological interests include:
- Care pathway analysis
- Excess length of stay estimation
- Multi-level modelling of spatio-temporal data, including aggregation of disparate sources
- Discrete event simulation (DES)
My current application areas include:
- Tuberculosis (latent and active cases)
- Healthcare-acquired infections
- Sexually transmitted infections (principally Chlamydia)
et al., 2019, A cost comparison of amikacin therapy with bedaquiline, for drug-resistant tuberculosis in the UK., J Infect
et al., 2019, The health and cost burden of antibiotic resistant and susceptible Escherichia coli bacteraemia in the English hospital: a national retrospective cohort study, Plos One, Vol:14, ISSN:1932-6203, Pages:1-19
et al., 2019, Assessing local chlamydia screening performance by combining survey and administrative data to account for differences in local population characteristics, Scientific Reports, Vol:9, ISSN:2045-2322
et al., 2019, Interferon gamma release assays for diagnostic evaluation of active tuberculosis (IDEA): test accuracy study and economic evaluation, Health Technology Assessment, Vol:23, ISSN:1366-5278
et al., Validation of new technologies for the diagnostic evaluation of active tuberculosis (VANTDET), Efficacy and Mechanism Evaluation, ISSN:2050-4365