I am a PhD student at the Department of Statistics, University College London, where I work with Professor Gianluca Baio and Professor Anna Heath in the Statistics for Health Economic Evaluation research group. Prior to this, I completed master's degrees in Machine Learning (2017) and Financial Computing (2018) within the Department of Computer Science, University College London. I hold an undergraduate degree in Mathematics and Physics from the University of Bath (2016).

My research is on the interface between statistics and health economics and outcomes research. I am working on methodological and applied problems in indirect treatment comparison and survival analysis. More specifically, my current line of work involves the development of new methodologies for population adjustment with limited access to patient-level data. These methods are increasingly used to compare treatment outcomes across separate clinical trials when there are cross-trial differences in patients' baseline characteristics.

I am active as a consultant to the health care sector on statistical issues arising in health technology appraisal and evidence based medicine, predictive analytics, economic modelling and real-world evidence development. I hold my own limited company but have also worked with contract research organisations such as IQVIA and ICON plc, where I have provided statistical support for submissions to HTA authorities and other clinical projects.


  • Indirect treatment comparisons
  • Causal inference
  • Population adjustment
  • Bayesian statistics
  • Health technology assessment


  • MRes in Financial Computing, 2018

    University College London

  • MSc in Machine Learning, 2017

    University College London

  • BSc in Mathematics and Physics, 2016

    University of Bath