I am a biostatistician working at the intersection of methods research, clinical trials, and statistical computing. My work develops estimators and study designs for complex time-to-event and longitudinal data, and turns them into open-source tools that other researchers can use.
I am an Academic Statistician and Senior Lecturer in the Division of Population Health & Genomics at the University of Dundee Medical School, where I lead statistical work across clinical trials, cohort studies, and routinely collected health data, and teach on the MSc programmes in Global Health and Public Health.
Across 237 papers (h-index 27, i10-index 77), 15 CRAN packages, and four monographs, the through-line is the same: making rigorous statistical thinking usable — through published methods, reproducible software, and teaching.
Linking repeated biomarker trajectories to time-to-event outcomes.
Transition modelling, frailty, and proximity-score matching.
Dose-finding, optimal biological dose, and predictive success.
Multiple imputation and IPW for irregular longitudinal data.
Feature selection and regularised modelling for genomic outcomes.
Causal and pharmacoepidemiological analysis of routine health data.
Fifteen packages on CRAN with more than 138,000 downloads, plus five deployed Shiny applications. Every package below links to its CRAN page.
Four research monographs published with Chapman & Hall / CRC Press.
More than £1.7M in awarded research funding, with a further £5.8M under review. Selected awards:
Five methodological lines run through my research — each developed as published theory and released as open-source software.
Methods projects, trial statistics, consultancy, and biostatistics training — I'm happy to hear from you.