Personal information

Activities

Employment (4)

Queen Mary University of London: London, GB

2021-10 to present | Lecturer in Computational Medicine (School of Engineering & Materials Science)
Employment
Source: Self-asserted source
Caroline Roney

King's College London: London, GB

2021-10-17
Employment
Source: check_circle
King's College London

King's College London: London, London, GB

2017-10-01 to 2021-10 | Postdoctoral fellow (Division of Imaging Sciences and Biomedical Engineering)
Employment
Source: Self-asserted source
Caroline Roney

University of Bordeaux: Bordeaux, FR

2015-05-01 to 2017-09-01 | Postdoctoral fellow (Liryc)
Employment
Source: Self-asserted source
Caroline Roney

Education and qualifications (3)

Imperial College London: London, London, GB

2011-10-01 to 2015-09-01 | PhD (Bioengineering)
Education
Source: Self-asserted source
Caroline Roney

Imperial College London: London, London, GB

2010-10-01 to 2011-10-01 | MRes in Biomedical Research (Medicine)
Education
Source: Self-asserted source
Caroline Roney

University of Oxford: Oxford, Oxfordshire, GB

2006-10-01 to 2010-06-01 | MMath (Mathematics)
Education
Source: Self-asserted source
Caroline Roney

Funding (4)

Mapping populations to patients: designing optimal ablation therapy for atrial fibrillation through simulation and deep learning of digital twins

2022-11-01 to 2026-10-31 | Grant
UK Research and Innovation (Swindon, GB)
GRANT_NUMBER: MR/W004720/1
Source: Self-asserted source
Caroline Roney via DimensionsWizard

In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation

2022-03-31 to 2026-03-30 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
GRANT_NUMBER: EP/W000091/1
Source: Self-asserted source
Caroline Roney via DimensionsWizard

Predicting Atrial Fibrillation Mechanisms Through Deep Learning

2021-10-17 to 2022-10-31 | Grant
Medical Research Council (London, GB)
GRANT_NUMBER: MR/S015086/2
Source: Self-asserted source
Caroline Roney via DimensionsWizard

Predicting Atrial Fibrillation Mechanisms Through Deep Learning

2018-09-30 to 2021-09-29 | Grant
Medical Research Council (London, GB)
GRANT_NUMBER: MR/S015086/1
Source: Self-asserted source
Caroline Roney via DimensionsWizard

Peer review (9 reviews for 7 publications/grants)

Review activity for Biophysical reviews. (1)
Review activity for Engineering with computers. (1)
Review activity for Heart rhythm (2)
Review activity for Journal of cardiovascular translational research. (1)
Review activity for Medical & biological engineering & computing. (1)
Review activity for Medical image analysis. (2)
Review activity for PLoS computational biology. (1)