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Basic Info

I am postdoctoral research associate in health data science specialising in inflammatory bowel disease.

  • šŸ‘·ā€ā™‚ļø Iā€™m currently working on the PREdiCCt study and the Lothian IBD Registry
  • šŸ‘„ Member of the Lees and Vallejos research groups
  • šŸ¢ Working at the Centre for Genomic and Experimental Medicine, The University of Edinburgh
  • šŸ  Living in Edinburgh, Scotland
  • šŸ˜„ Pronouns: he, him, his
  • šŸ“„ My CV

I maintain some R packages:

Package CRAN R-universe Issues Pull requests
datefixR CRAN status datefixR status badge GitHub issues GitHub pulls
BASSLINE CRAN status status badge GitHub issues GitHub pulls
gameR CRAN status gameR status badge GitHub issues GitHub pulls

And a Rust crate:

Crate Crates.io Issues Pull requests
bibget crates.io GitHub issues GitHub pulls

Languages and Tools:

GitHub stats

Scripting Languages

bash python R

Programming Languages

C++ rust

Markup Languages

css3 html5 LaTeX Markdown

Frameworks & Tools

photoshop illustrator blender docker jekyll tailwind pandas scikit_learn tensorflow

Research

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.

About Me

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 šŸ‹ļø, bass guitar šŸŽø, and all things tech (especially PC hardware šŸ–„ļø).


Connect with me:

email ibdnathan nathan-constantine-cooke

Nathan Constantine-Cooke's Projects

bassline icon bassline

BAyeSian Survival anaLysIs usiNg shapE mixtures of log-normal distributions

benchjournal icon benchjournal

A tool to keep track of benchmark results for an R package across versions

bibget icon bibget

Generate BibTex entry from a DOI. Written in Rust and based on the doi2bib crate.

comprisk icon comprisk

Comparison of joint models for competing risks and longitudinal data

gamer icon gamer

R colour palettes inspired by video games

igmm-survival icon igmm-survival

R Markdown documents for the survival analysis demos presented in the IGMM statistical seminar series.

methylpiper icon methylpiper

Modular and reproducible pipelines for multi-omics predictors of complex traits.

msc-diss-code icon msc-diss-code

R package & markdown files to reproduce results from my MSc dissertation

paintr icon paintr

Collection of R colour palettes I frequently use in my work

posters icon posters

Posters I have presented at conferences

rmwreg icon rmwreg

Accelerated failure times survival regression using Rate Mixtures of Weibull distributions

talks icon talks

Talks I have given as part of my PhD

tofameta icon tofameta

R scripts/data for Lucaciu & Constantine-Cooke et al. Real-world experience with tofacitinib in ulcerative colitis - a systematic review and meta-analysis of observational studies.

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