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Areas of Consultancy: Bayesian methodsEpidemiologyExploratory data analysisGLMs and other non-linear modelsGraphicsMultivariate analysisQuality methodologyStatistical computingStatistical inference
Trainer, coach and consultant at BayesCamp (2017 - present) Part-time lecturer in data science at Kingston University (2020 - present) Honorary senior fellow at The George Institute for Global Health (2021 - present) My career in statistics began with clinical audit (healthcare quality and safety indicators) projects at the Royal College of Physicians (of London). I was also statistician and project manager on the development of six clinical guidelines for the National Institute for Health and Care Excellence (NICE). In 2010, I moved to an academic post at St George's, University of London, and was involved in many clinical trials, epidemiological and health services research studies, as well as teaching statistics and research methods to health care professionals. During this time, I also taught these subjects for Harvard Medical School's Global Clinical Scholars' Research Training programme in the UK, USA, Portugal and the UAE. I started my own business, BayesCamp, in 2017, to focus on training, coaching and consultancy. I published a book, "Data Visualisation: charts, maps and interactive graphics" with the American Statistical Association and CRC Press in 2019, and am working on a new textbook, "Practical Bayesian Meta-Analysis". I am a developer of Stan software for Bayesian analysis, a regular contributor to the annual Stata London conference, co-organiser of the annual International Workshop on Computational Economics and Econometrics in Rome, and founder of the online blog and forum, the Bayesian Meta-Analysis Network (bayesian-ma.net)
Bayesian models, data visualisation, communicating findings and methods to non-statisticians, health services research, clinical audit, evidence synthesis, meta-analysis.