I am a Statistician and Mathematical Modeller Research Fellow in the Department of Infectious Disease Epidemiology, Imperial College London. 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.
Disclaimer: All views are my own and do not reflect that of my employer.
PhD in Applied Probability, 2005
University of Liverpool
MMATHSTAT: Masters degree in Mathematics and Statistics, 2001
University of Newcastle-Upon-Tyne
Fellow
Royal Statistical Society
Associate Fellow
Higher Education Academy
I do lots of different outreach activities, mainly to do with STEM. I was a British Science Association Media Fellow at the Guardian newspaper and have written for various publications. I also do standup comedy- usually with a science theme and organised events as part of my LOL-lab projects.
I am the author of several health economics R packages, hosted on GitHub. I have established an initiative for developing and collecting related packages under the title Health Economics in R for Modelling and Evaluation Studies (HERMES).
Lightweight cost-effectiveness analysis using decision trees.
An R package for quality-adjusted life-years (QALY) calculation and manipulation.
An R package for plotting cost-effectiveness analysis output data.
I am module lead for SPH018: Introduction to Bayesian Statistics, part of the MSc in Epidemiology and Public Health at Imperial College London.
I have tutored, supervised and lectured for the following courses at Imperial College London:
