Celeste McCracken
MCom, GradDipCom, MSc
DPhil Student
- Researcher
- Statistician / Data Scientist
I hold several degrees from the University of Auckland (New Zealand) in statistics and computing, as well as an MSc in Data Science from Royal Holloway, University of London. I'm a fellow of the Royal Statistical Society.
After working as a Data Scientist in healthcare consulting, I made the change back to academic life in late 2019, working in advanced cardiovascular imaging with Professor Steffen Petersen at Queen Mary, University of London.
Now I'm a member of Oxford Centre for Magnetic Resonance working under Professor Stefan Neubauer, also working closely with Professor Tom Nichols within WIN FMRIB and the Big Data Institute.
My DPhil work involves researching linkages between heart, brain and liver using imaging-derived phenotypes within UK Biobank.
Recent publications
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NHS Health Check attendance is associated with reduced multiorgan disease risk: a matched cohort study in the UK Biobank
Journal article
McCracken C. et al, (2024), BMC Medicine, 22
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Diagnostic utility of electrocardiogram for screening of cardiac injury on cardiac magnetic resonance in post-hospitalised COVID-19 patients: a prospective multicenter study.
Journal article
Samat AHA. et al, (2024), Int J Cardiol, 415
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From Big Data to the clinic: methodological and statistical enhancements to implement the UK Biobank imaging framework in a memory clinic
Preprint
Gillis G. et al, (2024)
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Predictive Performance of Cardiovascular Risk Scores in Cancer Survivors From the UK Biobank
Journal article
McCracken C. et al, (2024), JACC: CardioOncology, 6, 575 - 588
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Ventricular volume asymmetry as a novel imaging biomarker for disease discrimination and outcome prediction.
Journal article
McCracken C. et al, (2024), Eur Heart J Open, 4