Ambre Bertrand
CDT Student
My DPhil aims to improve our understanding of cardiac abnormalities in type 2 diabetes, a major risk factor for cardiovascular disease. I apply a range of statistical methods to clinical data in the UK Biobank, and hope to explain differences observed by constructing personalised digital twins of patients’ hearts. My supervisors are Prof. Blanca Rodriguez and Prof. Vicente Grau.
I hold an MEng in Engineering Science from the University of Oxford. My final project focused on multi-modal image registration and quantitative imaging of cancer. I’ve held various research intern positions in medical data science and modelling including at the Oxford Institute of Biomedical Engineering, a medical device start up, and the University of California, San Diego jointly with Simula Research Laboratory, Norway.
When I am not behind my computer screen, I love spending time outdoors rowing, going on walks and hikes, swimming, reading, and cooking with/for my friends and family.
Recent publications
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Correction: Multi-modal characterisation of early-stage, subclinical cardiac deterioration in patients with type 2 diabetes.
Bertrand A. et al, (2025), Cardiovascular diabetology, 24
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ECG analysis of ventricular fibrillation dynamics reflects ischaemic progression subject to variability in patient anatomy and electrode location.
Martinez-Navarro H. et al, (2024), Frontiers in cardiovascular medicine, 11
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Multi-modal characterisation of cardiac function and electrophysiology in type 2 diabetes: a UK Biobank cross-sectional study
Bertrand A. et al, (2024)
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Oxygen-enhanced MRI and radiotherapy in patients with oropharyngeal squamous cell carcinoma.
Bluemke E. et al, (2023), Clinical and translational radiation oncology, 39
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Deep Learning-Based Emulation of Human Cardiac Activation Sequences
Bertrand A. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13958 LNCS, 213 - 222