Nathan Constantine-Cooke
Thesis title: Precision Medicine in Crohn's Disease and Ulcerative Colitis: Predicting Disease Flare and Disease Progression
Precision Medicine DTP
Year of study: 3
- MRC Human Genetics Unit
- Centre for Genomic and Experimental Medicine
- MRC Institute of Genetics & Cancer
Contact details
- Email: nathan.constantine-cooke@ed.ac.uk
- Web: Personal Website
- Web: GitHub
- Twitter profile
PhD supervisors:
Address
- Street
-
MRC Human Genetics Unit
MRC Institute of Genetics & Cancer
The University of EdinburghWestern General Hospital
Crewe Road
- City
- Edinburgh
- Post code
- EH4 2XU
Background
After completing a mathematics undergraduate degree from Aberystwyth university, where he primarily focused on statistics and pure mathematics, Nathan studied an MSc in Statistics for Computational Biology at the same institution. His professional interest, analysing high-dimensional biological data, has aligned with his personal interest in inflammatory bowel disease (IBD) in his PhD research. Nathan is part of the Vallejos group led by his supervisor Dr Catalina Vallejos ( https://vallejosgroup.github.io/ ). He is involved in the PREdiCCt study (https://www.predicct.co.uk), led by his second supervisor, Dr Charlie Lees, and is producing models which attempt to predict when an IBD patient will have a disease flare-up by considering diet/ lifestyle data alongside whole-genome and metabolomic sequencing data. Nathan is a student on the Precision Medicine doctoral training programme.
CV
103100.pdf
Qualifications
BSc (hons), Mathematics, Aberystwyth University, 2018
MSc, Statistics for Computational Biology, Aberystwyth University, 2019
Undergraduate teaching
Nathan has previously worked as an Undergraduate Demonstrator at Aberystwyth University where he supported first-year mathematics students in assignment workshops.
Postgraduate teaching
Nathan teaches Ed-DaSH workshops ( https://edcarp.github.io/Ed-DaSH/): teaching data science to postgraduate students with life science backgrounds.
Research summary
I am interested in predicting outcomes in inflammatory bowel disease and developing methods of stratifying patients to optimise treatment. As such, I specialise in methods of survival analysis, risk prediction, tool development, and bridging the divide between clinicians and statisticians.