Assistant Professor

Department of Health Services Research and Policy

London School of Hygiene and Tropical Medicine

My early career was spent working as an aviation forecaster at the Civil Aviation Authority and National Air Traffic Services. I returned to full-time education in 2005, and completed a PhD on Bayesian methods for modelling non-random missing data mechanisms in longitudinal studies at Imperial College London. Since then I have worked on the BIAS project, which developed Bayesian methods for integrated bias modelling and analysis of multiple data sources in observational studies, and as a trial statistician in the Imperial Clinical Trials Unit, focusing mainly on critical care trials.

I joined the London School of Hygiene and Tropical Medicine in 2014, and my current research is at the interface of statistics, health economics and decision making, and is aimed at improving Bayesian approaches to healthcare evaluation arising from clinical trials. I am interested in developing methods and tools to facilitate expert elicitation that allows external knowledge to be incorporated into analysis when there is missing or insufficient information from the trial itself. I am part of the Centre for Statistical Methodology (CSM) and the Centre for Health Economics In London (CHIL). Additionally, I have ongoing collaborations with the Intensive Care National Audit and Research Centre (ICNARC) and the statistical researchers at Imperial College London working in clinical trials, as well as The Statistics for Health Economic Evaluation Group at UCL.


  • Bayesian statistics
  • Missing data
  • Expert elicitation
  • Adaptive designs


  • PhD in Statistics

    Imperial College London

  • MSc Statistics

    University of Sheffield

  • BSc Mathematics and Computing

    University of Bath