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.
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
et al., 2017, Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation, Circulation-arrhythmia and Electrophysiology, Vol:10, ISSN:1941-3149
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
et al., 2016, An adaptable parallel algorithm for the direct numerical simulation of incompressible turbulent flows using a Fourier spectral/hp element method and MPI virtual topologies, Computer Physics Communications, Vol:206, ISSN:0010-4655, Pages:17-25
et al., 2017, Towards p-Adaptive Spectral/hp Element Methods for Modelling Industrial Flows, Pages:63-79, ISSN:1439-7358