Imperial College London

Dr Chris Cantwell

Faculty of EngineeringDepartment of Aeronautics

Research Fellow



+44 (0)20 7594 5123c.cantwell Website




Department of Aeronautics, Room 217City and Guilds BuildingSouth Kensington Campus





Dr. Chris Cantwell’s research is highly interdisciplinary, bridging numerical modelling, signal processing, clinical data, medical imaging and basic laboratory science. His current area of interest is to use engineering techniques to address the biomedical challenges in clinical cardiac electrophysiology.

Chris Cantwell obtained a First Class honours degree in Mathematics at the University of Warwick in 2005. He subsequently completed an MSc and PhD in Scientific Computing at the University of Warwick's Centre for Scientific Computing, studying the transient growth of small disturbances to fluid flow in a linearly stable regime. He moved to Imperial College London to join Professor Spencer Sherwin’s group, initially developing high-order spectral/hp element methods, before being awarded a 3-year Advanced Training Award from the BHF with which he transitioned to address challenges in the understanding and treatment of atrial arrhythmias.



Xu H, Cantwell CD, Monteserin C, et al., 2018, Spectral/hp element methods: Recent developments, applications, and perspectives, Journal of Hydrodynamics, Vol:30, ISSN:1001-6058, Pages:1-22

Leong KMW, Ng FS, Roney C, et al., 2018, Repolarization abnormalities unmasked with exercise in sudden cardiac death survivors with structurally normal hearts, Journal of Cardiovascular Electrophysiology, Vol:29, ISSN:1045-3873, Pages:115-126

Roney CH, Cantwell CD, Bayer JD, et al., 2017, Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation, Circulation-arrhythmia and Electrophysiology, Vol:10, ISSN:1941-3149

Roney CH, Cantwell CD, Qureshi NA, et al., 2017, Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation, Annals of Biomedical Engineering, Vol:45, ISSN:0090-6964, Pages:910-923


Moxey D, Cantwell CD, Mengaldo G, et al., 2017, Towards p-Adaptive Spectral/hp Element Methods for Modelling Industrial Flows, Pages:63-79, ISSN:1439-7358

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