Research associate, Biomedical Engineering Department, King’s College London. Integrated modelling and magnetic resonance imaging for dilated cardiomyopathy, project led by Dr David Nordsletten
DPhil in Computer Science, University of Oxford. Efficient numerical methods for the solution of coupled multiphysics problems, supervised by Dr David Kay and Prof David Gavaghan
I am currently working on the BHF Integrated Mathematical Modelling and MR Imaging project. We are aiming to gain a better understanding of cardiac mechanics through combined use of magnetic resonance imaging and computational modelling. The ultimate goal of this work is to provide a modelling tool that would assist diagnosis, selection of treatment strategies, and prognosis for heart disease. The current focus is on realiable physical characterisation of heart tissue in patients with dilated cardiomyopathy as compared to people with healthy hearts.
My broader scientific interests include numerical methods for differential equations (or anything else), coupled problems, error estimation, fluid and solid mechanics, and applications in physiology.
I am involved in code development, testing, and user support. Since 2012 I have added, modified, and removed functionality for several linear solvers, fluid and solid mechanics problems, and, most recently, parameter estimation using the reduced-order unscented Kalman filter.