Nathan Constantine-Cooke

Thesis title: Precision Medicine in Crohn's Disease and Ulcerative Colitis: Predicting Disease Flare and Disease Progression


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 ( ). He is involved in the PREdiCCt study (, 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. 


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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 ( 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. 

Past research interests

I have previously explored circadian rhythms in the Talitrus saltator transcriptome.