I am a freelance chartered statistician based in Hampshire, UK. Since 2017, I have been providing training, coaching and consultancy. My expertise focuses on evidence synthesis, data visualisation, Bayesian statistical models, health service evaluation, and communication to policy makers.
My clients have included the Cabinet Office, Harvard Medical School, the World Bank, The Economist, and the Royal College of Paediatrics and Child Health. I was also a part-time Senior Lecturer on Kingston University's MSc course in Data Science until December 2024.
You can read some vignettes of the freelance work I have done here. You will find my contact details via the menu above, but please note I have no availability for new freelance work.
Going backwards in time, I was previously senior lecturer in health and social care statistics at Kingston University, senior research fellow in quantitative methods at St George's, University of London, medical statistician (earlier, project manager) at the Royal College of Physicians (Clinical Effectiveness & Evaluation Unit), senior project manager (earlier, project manager) at NICE's National Collaborating Centre for Chronic Conditions. More details are given below.
My first book, "Data Visualization: charts, maps and interactive graphics" was published by CRC Press and the American Statistical Society in 2018.
The next is "Bayesian Meta-Analysis: a practical introduction", co-written with Professor Gian Luca Di Tanna, scheduled to be published by CRC Press in June 2025.
I programmed the StataStan interface to Stan software for Bayesian inference, and the kudzu package in R and Stata.
I use a wide range of analytical methods: Bayesian, frequentist, likelihood, and machine learning. I think that the right tool should be used for each job. My personal philosophical standpoint, which emphasises justified eclecticism, is here.
A list of publications — peer-reviewed papers, commissioned articles, posters, talks, reports — is available via the link above.
Cover art by Jill Pelto (data visualisation) and me (BMA)
I started my company, BayesCamp, in 2017. Prior to that, I worked on:
I was a member of the Royal Statistical Society's statistical computing committee, and NHS England's National Advisory Group for Clinical Audit and Confidential Enquiries.
Degrees: BSc mathematical sciences (first class honours), diploma in statistics, MSc in medical statistics, PhD "Applications of Bayesian latent variable models to challenges in health and social care data".
Photo by Jasmin Mehovic
Watch this space for more talks about Bayesian meta-analysis, once the book comes out in June 2025.