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Our Projects
Recipient | Project | Award |
Dr Carol Sudre | Collaborative 4-year PhD programme in cardiovascular data science linking the i4health CDT, the UCL 4-year BHF PhD programme and the MRC Unit for Lifelong Health and Ageing | £118,568 |
Dr Rhodri Davies | Machine Learning Interpretation of Contrast-enhanced Cardiac MRI | £100,000 |
Dr Gaby Captur | CMR-ECGI Vest and In-bore Recording System for Healthcare | £44,301 |
Dr Rui Providenia | Underpinning the genetic basis of imaging traits of atrial myopathies in UK-Biobank | £49,978 |
Dr Michele Orini | PhD in Data Science for Clinical Electrophysiology (complementary funds) | £25,000 |
Dr Tom Lumbers | Repainting the aetiological landscape of cardiac dysfunction and disease | £12,500 |
Dr Anoop Shah | Pilot study on natural language processing for the extraction of cardiovascular clinical information at the point of care | £12,500 |
Our Appointments
Dr Rhodri Davies
Rhodri is UCL Associate Professor of Machine Learning and Cardiac Imaging and Consultant Cardiologist Barts Heart Centre and University Hospital of Wales. Rhodri trained in Computer Science (BSc and PhD) before qualifying in medicine. He uses AI to automate the acquisition, improve the resolution and quantify the analysis of imaging data from cardiac MRI and CT scans. AI-based automation enables development of imaging biomarkers that are too laborious to recover manually, it can reveal patterns invisible to the human eye, undertake standard measurements more accurately, consistently, and faster than an expert human. Rhodri uses these techniques to redefine the way we diagnose, risk-stratify, and manage cardiac diseases such as cardiomyopathies. Rhodri’s appointment is joint with UCL Centre for Medical Image Computing, thereby fostering interdisciplinary collaboration.
Dr Michele Orini
Michele is Senior Research Fellow in Data Science for Health. Michele is a Biomedical Engineer who received his Doctor of Philosophy from Politecnico di Milano. Michele works on large and complex data (e.g., from 12-lead and exercise ECGs, as well as pacemakers and wearables) in patients and population cohorts including UK Biobank. He specialises in complex data analysis (e.g., of heart rate variability) and data integration (e.g., of electrophysiology and imaging data) to develop insights on cardiovascular disease prediction, detection, diagnosis, stratification in common and rare diseases including cardiac arrhythmias.
Dr Nikhil Paliwal
Opportunities are emerging for deeper insight into cardiovascular disease mechanism (and identification of new therapeutic targets) through systems-level analysis of linked multi-omics, imaging, and healthcare data. Nikhil was recruited from the Johns Hopkins University, Baltimore, USA, where he was an American Heart Association Fellow working on the management of atrial fibrillation and stroke. Here at UCL, he leads work on multi-omics and cardiac imaging from nearly 70,000 participants from UK Biobank. His work contributes to the molecular understanding of heart failure subtypes as part of a collaborative Pfizer iTEN project led by Dr Tom Lumbers. Nikhil has an undergraduate degree in Bioengineering from the Indian Institute for Technology, Kanpur, India and a PhD in Mechanical Engineering from the University at Buffalo, NY, USA.
Dr Carole Sudre
Carole studied engineering and applied mathematics in France and graduated from Ecole Polytechnique with a specialisation in biomedical engineering from ETH Zurich in 2013. During her PhD awarded in 2016 at UCL, she developed tools to automatically quantify white matter lesions from magnetic resonance imaging. These tools are being applied in multiple research cohorts and in particular the SABRE and Insight46 cohort of NSHD to investigate the relationships between cardiovascular risk factors and diseases, and neurological and cognitive conditions. As with Dr Rhodri Davies, Carole’s appointment is joint with UCL Centre for Medical Image Computing (Director Prof. Daniel Alexander).
Dr Gabriella Captur
Dr Gaby Captur is a consultant cardiologist in inherited cardiac conditions based at the Royal Free London and an Associate Professor at UCL's Institute of Cardiovascular Science. She is faculty board member of the British Society for Cardiovascular Magnetic Resonance (BSCMR) and leads the BSCMR Cardiomyopathy Task Force. Her research focuses on improving the diagnosis and risk stratification of patients with inherited cardiac conditions. She carries out observational clinical studies using cardiovascular magnetic resonance in population based and clinical cohorts. Gaby invented the T1 and T2 mapping phantoms for cardiac MRI and has patented her invention of the first washable and reusable cardiac MRI-electrocardiographic imaging vest. This device permits non-invasive electrocardiographic imaging in patients with cardiomyopathies at scale. Gaby co-leads the Cardiometabolic Programme at MRC LHA with Prof. Alun Hughes.