I am postdoctoral research associate in health data science specialising in inflammatory bowel disease.
- π·ββοΈ Iβm currently working on the PREdiCCt study and the Lothian IBD Registry
- π₯ Member of the Lees and Vallejos research groups
- π’ Working at the Centre for Genomic and Experimental Medicine, The University of Edinburgh
- π Living in Edinburgh, Scotland
- π Pronouns: he, him, his
- π My CV
I maintain some R packages:
Package | CRAN | R-universe | Issues | Pull requests |
---|---|---|---|---|
datefixR | ||||
BASSLINE | ||||
gameR |
And a Rust crate:
Crate | Crates.io | Issues | Pull requests |
---|---|---|---|
bibget |
I am interested in predicting outcomes in inflammatory bowel disease and developing methods of stratifying patients to optimise treatment. I specialise in methods of survival analysis, risk prediction, tool development, and bridging the divide between clinicians and statisticians.
I am supervised by Professor Charlie Lees and Dr Catalina Vallejos and financially supported by a UK Research and Innovation (UKRI) Future Leaders fellowship awarded to Professor Lees.
My talks repository contains PDFs of presentations I have given.
After completing a Mathematics undergraduate degree from Aberystwyth university, where I primarily focused on statistics and pure mathematics, I studied an MSc in Statistics for Computational Biology at the same institution. I then studied for a PhD in the Vallejos and Lees research groups at the University of Edinburgh via the Precision Medicine doctoral training programme. During my PhD, my work focussed on characterising heterogeneity in inflammatory bowel disease using longitudinal profiles of routinely collected biomarker profiles. I am now a postdoctoral research associate at the same institution and continue to work in this area.
Whilst I am primarily research focussed, I occasionally teach, typically teaching Statistics to biologists via projects like Ed-DaSH.
My personal interests include fitness ποΈ, bass guitar πΈ, and all things tech (especially PC hardware π₯οΈ).