The Computational Cardiovascular Science Team

The Computational Cardiovascular Science group is an interdisciplinary team of scientists aiming at translating their background in Engineering, Mathematics, Physics, and Biology to Cardiovascular Research. Each of our teammates has a different range of skill sets and we enjoy combining them to contribute to improving the understanding of the human hearts in health and disease, and to develop new mathematical and computational methodologies for Cardioascular Research.

Visit also our Former Members section.

NamePictureAreas of InterestContact
Blanca Rodriguez

Wellcome Trust Senior Research Fellow in Basic Biomedical Sciences

Professor of Computational Medicine

Principal investigator within the BHF CRE
Blanca Rodriguez
Computational Cardiac Electrophysiology

Mechanisms determining variability in the response of the human heart to anti-arrhythmic therapy in acute myocardial ischaemia, hypertrophic cardiomyopathy and atrial fibrillation.
Blanca's profile
Vicente Grau

Professor of Biomedical Image Analysis

Director of Centre for Doctoral Training in Healthcare Innovation
Vicente
Biomedical image analysis

Development of novel algorithms for biomedical image analysis in combination with computational models, and their application in cardiovascular and pulmonary medicine.
Vicente's profile
Alfonso Bueno-Orovio

British Heart Foundation Intermediate Basic Science Research Fellow

Principal investigator within the BHF CRE

Alfonso
Integrative approaches for Cardiovascular Research

Interplay between cardiac function and structure in modulating deadly arrhythmias in the human heart, computer modelling and simulation towards a reduction and replacement of animals in research and safer drugs in human, and advanced mathematical modelling for cardiac tissue and magnetic resonance imaging.
Alfonso's profile
Kevin Burrage

Visiting Professor, 2016-2019.

Professor of Computational Mathematics, QUT, Brisbane, Australia

Kevin
Development of novel modelling and simulation approaches in Computational Biology

To capture the underlying variability in dynamical processes and to characterise the heterogeneity in biological tissues through stochastic and nonlocal multiscale techniques.
Kevin's profile
Yoram Rudy

Visiting Professor of Computational Medicine, Washington University in St. Louis
Yoram Rudi
Cardiac Bioelectricity, Electrophysiology and Arrhythmias, Computational Biology and Modeling of the Heart, Cardiac Electrical Imaging and Mapping

Understanding the mechanisms that underlie normal and abnormal rhythms of the heart at various scales, from the molecular and cellular to the whole organ. The development of novel non-invasive imaging modalities (Electrocardiographic Imaging, ECGI) for the diagnosis and guided therapy of cardiac arrhythmias.
Yoram's Profile
Oliver Britton

Postdoctoral Researcher
ollie
Modelling human dorsal root ganglion neurons for pain research

Developing models of human nociceptors to understand mechanisms of ion channel mutations involved in pathological pain signalling, and to identify potential therapeutic strategies.

Oliver's profile
Elisa Passini

Senior Postdoctoral Researcher
Elisa Passini
Computational modelling and simulation in Safety Pharmacology
 
Human in silico drug testing for the prediction of safety and efficacy of drug action in human.
Elisa's profile
Xin Zhou

Postdoctoral Researcher
XinZhou
The development and use of mathematical models of human ventricular cell electrophysiology 

To investigate the effect of variability in the generation of potential pro-arrhythmic conditions in human ventricles. Especially, the modelling of the ionic mechanisms underlying excitation-contraction coupling, genetic disorders in ion channels, and drug response in human.

Xin's profile
Linford Briant

Sir Henry Wellcome Postdoctoral Fellow
Linford B
Mechanisms regulating glucagon secretion from pancreatic alpha-cells Linford's profile
Zhinuo (Jenny) Wang

Postdoctoral Researcher

Jenny
Modeling heart electrophysiology and arrhythmia risk stratification in hypertrophic cardiomyopathy 

Developing 3D computational models of the heart to investigate the effect of hypertrophic-related heterogeneities in the electrical properties of the myocardium on its susceptibility to arrhythmia. 

Jenny's profile
Lei Wang

Postdoctoral Researcher

Lei
Electromechanical modelling of the heart 

Develop fast computational toolkits to reproduce the heart structure and function, including ionic dynamics and activation (electrophysiology), contraction and pump blood (mechanics) and scar growth and remodelling (biochemistry), and search key mechanisms in myocardial infarction (MI), aiming to aid clinical management and drug development for MI. 

Lei's profile

Aditi Roy

Postdoctoral Researcher

   

Aditi's profile

Rubén Doste

Postdoctoral Researcher

Ruben Doste

Computational modelling and simulation in Hypertrophic Cardiomyopathy

Development of personalised human ventricular models and conduction of high performance computing studies to investigate risk stratification and tailoring of pharmacological therapy in human hypertrophic cardiomyopathy.

Ruben's profile
Karen Barnes

PA to Prof Blanca Rodriguez
Karen Barnes
Personal Assistant to Prof Blanca Rodriguez Karen's profile
Patricia Benito

Project Manager
Patri
Project management Patricia's profile
Students
Hector Martinez

DPhil in Computer Science, 2015-2018
Hector
Arrhythmic risk in human ventricular ischemia Hector's profile
Cristian Trovato

DPhil in Computer Science, 2016-2019
Cristian Trovato
 Drug effects on the cardiac Purkinje system Cristian's profile
Peter Marinov

DPhil in Computer Science, 2016-2019
Peter Marinov
A modelling and ECGi approach to Arrhythmogenic Right Ventricular Cardiomyopathy Peter's profile
Polina Mamoshina

DPhil in Computer Science, 2016-2019
Polina
In silico and ab initio modeling of drug-induced cardiotoxicity
 
Detection of cardiotoxicity using supervised and unsupervised machine learning techniques. Analysis of signalling pathway dysregulation linked to drug-induced cardiotoxicity
 
Polina's profile
Julià Camps

DPhil in Computer Science, 2017-2020

Julia
Machine learning for ECG signals Julia's profile
Beth McMillan

DPhil in Computer Science, 2015-2018

 

Beth
Predicting drug-induced Torsades de Pointes arrhythmias

 

Beth's profile
Francesca Margara

Marie Curie DPhil Fellow, 2018-2021

Francesca
Personalised analysis of drug safety and efficacy

Personalised models of human cardiac electromechanical physiology to predict the safety and efficacy of pharmacological action in the individual subject.

Francesca's profile
Hao Xu

DPhil in Computer Science, 2015-2019

Hao Xu
Biomedical Image Analysis

Automated segmentation of Cardiac MRI scans based on deep learning. Anatomical and functional analysis of left ventricle.

Hao's profile
Jorge Corral Acero

Marie Curie DPhill Fellow, 2018-2021

Jorge
Cardiomyopathy under the lenses of cardiac MRI & computer models

Synergies of cardiac MRI and computer models to address hypertrophic cardiomyopathy: CMR analysis, based on deep learning approaches and combination of ML techniques and personalised models.

Jorge's profile