Leeds Systems Physiology Lab

Qualificatons:

• MPhys (Hons)   - Physics with Theoretical Physics, University of Manchester, 2008
  
• PhD                   - Physics (Computational Biology), University of Manchester, 2012
  

Employment history

• 2012-2014 : EPSRC Doctoral Prize Research Fellow, University of Manchester
• 2014-2015 : UMIP Post-doctoral Research Associate, University of Manchester
• 2015-2018 : MRC Strategic Skills Research Fellow University of Manchester/Leeds
• 2016-present: University Academic Fellow, University of Leeds

Research Interests

• Multi-scale mechanisms of cardiac arrhythmias
• Excitation-contraction coupling
• Non-invasive diagnostic approaches

Links: University page , Google scholar page

Qualificatons:

• Bsc (Hons)   - Sports Science, University of Leeds, 2003
  
• PhD              - Computational Biology, University of Leeds, 2006
  

Employment history

• 2006-2008 : Post-doctoral Research Fellow, University of Leeds
• 2008-2011 : MRC Special Training Fellowship, University of Leeds
• 2011-2013 : Research Fellow, University of Leeds
• 2013-present: Lecturer in Cardiovascular Sciences, University of Leeds

Research interests

My research interests are in the use of computational models, combined with magnetic resonance and other experimental techniques, to study cardiovascular physiology in health and disease. A particular focus has been the study of cardiac arrhythmias and exercise intolerance in heart failure.

Cardiac arrhythmias

Cardiac arrhythmias are a major cause of mortality and morbidity. Ventricular fibrillation is an often fatal arrhythmia in which the heart’s normal rhythm is disturbed when multiple electrical wavefronts continually re-excite the same tissue (re-entry); synchronous contraction of the ventricles is lost, circulation of the blood ceases and death occurs. Individuals with heart failure have a significantly increased risk of developing such arrhythmias.

Computational cardiac models provide tools for examining the mechanisms underlying the onset of such arrhythmias, and interventions aimed at either preventing this onset or restoring normal sinus rhythm, as the data they provide can be dissected in time and space, and by parameters. Working closely with Dr Michael Colman, we develop biophysically-detailed computational models of the heart (at the sub-cellular, cellular, tissue and organ levels), and use these models to examine the roles that the structural (anatomical) and functional (electrophysiological and mechanical) changes seen in heart failure have on the initiation, maintenance and termination of cardiac arrhythmias such as ventricular fibrillation. To facilitate this, we have recently developed, in collaboration with Professor Ed White and others, an experimental “pipeline” where physiological measurements, optical mapping, novel diffusion tensor magnetic resonance imaging (DT-MRI) measurements and computational simulations can all be linked to study mechanisms leading to the initiation of cardiac arrhythmias.

Exercise intolerance

The ability to sustain muscular exercise is a key determinant of health, quality of life, and mortality. Poor exercise tolerance contributes to a downward spiral of inactivity, which is an “actual cause” of chronic disease, and the cardinal symptom of heart failure is a significant exercise intolerance which limits heart failure patients to a relatively sedentary lifestyle. However, the mechanisms limiting exercise tolerance remain poorly understood. Individuals capable of high rates of oxidative phosphorylation are able to tolerate sustained exercise at high levels. Achieving these high rates depends upon the effective integration of the physiological systems involved in O2 delivery and utilisation, clearance of CO2, and buffering of acid-producing reactions. However, because most conditions of physical activity are nonsteady-state, it is the integrated dynamics of these physiological systems that are most strongly related to exercise tolerance and longevity. Computational models allow us to study the intricately integrated (and therefore non-intuitive) relationships that exist between the different components of such a complex physiological system.

Working closely with Dr Harry Rossiter, Dr Carrie Ferguson and Dr Bryan Taylor, we examine how the pulmonary, circulatory and muscular systems integrate during dynamic activity across the continuum of biological function, from elite athletes to heart failure patients. Experimental data – obtained using cardiopulmonary exercise testing (CPX), near-infrared spectroscopy (NIRS), magnetic resonance spectroscopy (MRS) and other techniques – are used to develop novel computational models integrating physiological systems dynamics. The data generated by these experiments and computational models help us understand how systems dynamics conflate to produce the rapid O2 uptake (VO2) kinetics that are a major determinant of exercise tolerance, and thereby contribute to improving exercise performance, health, quality of life, and longevity.

Links: University page

Project

Remodelling of structure-function relationships underlying cardiac dysfunction in ageing: A multi-scale, systems approach (MRC CDA)

Qualificatons:

• Bsc (Hons) International   - Human Physiology, University of Leeds (UK) and State University of New York (USA), 2016
  
• PhD   - Cardiac Physiology, University of Leeds, 2021
  

Employment History:

• 2020-2023 : BHF Post-doctoral Research Associate, University of Leeds
• 2023-present : MRC Post-doctoral Research Associate, University of Leeds

Research Interests

• Structural and functional heterogeneity at the level of the calcium nanodomain in ageing and heart failure
• Role of Purkinje fibres in mechanically-induced arrhythmias
• Combining multiple imaging modalities to understand how a cells local function and structure correlates. Such modalities include; live-cell calcium imaging, electrophysiology and super-resolution microscopy
• RyR and IP3R mediated calcium release mechanisms within dorsal root ganglion neurones

Project

A computational model of fibrosis and the cardiac conduction system: the next generation of virtual heart models for research and teaching

Qualificatons:

• MBiol  – Integrated Masters in Medical Sciences, University of Leeds, 2023
  

Research Interests

• Multi-scale effects of local electrophysiological and structural changes
• The role of fibrosis on the cardiac conduction system
• The importance of potassium for cellular dynamics in atrial computational models

Project

I am currently pursuing a PhD in Medical Physiology at the University of Leeds, focusing on the role of cardiac conduction system remodeling in ageing-related heart dysfunction. My research explores the structural and functional changes in the heart's electrical system, aiming to contribute to the prevention and management of cardiovascular diseases - Commonwealth Scholarship

Qualificatons:

• Higher National Diploma in Clinical Cardiology, Karen Hospital Medical Training College (2019–2021)
  
• Masters of Science in Human Physiology, JKUAT (2016–2020)
  
• Bachelor of Science in Clinical Medicine and Community Health, Egerton University (2014–2016)
  
• Diploma in Clinical Medicine and Surgery, KMTC Meru (2006–2009)
  

Employment History:

• Lecturer, Medical Physiology, Jomo Kenyatta University of Agriculture and Technology (2018–Present)
  
• Graduate Assistant, Kabarak University (2017–2018)
  
• Clinical Officer, Murang’a County Referral Hospital (2011–2017)
  

Research Interests

My research interests lie in cardiovascular physiology, particularly the remodeling of the cardiac conduction system, cardiovascular disease prevention, and the development of affordable healthcare solutions for underserved populations.
I also focus on promoting heart health through digital health solutions and community outreach.

Project

Remodelling of structure-function relationships underlying cardiac dysfunction in ageing: A multi-scale, systems approach (MRC CDA)

Qualificatons:

• MbiolSci (Hons)   - Biological Science (Anatomy and Human Biology), University of Liverpool, 2014-2018
  
• PhD   - Cellular and Molecular Physiology, University of Liverpool, 2018-2023
  

Profile

Hi I’m Liam, Mike’s newly appointed postdoctoral researcher here at the Leeds computational Physiology Lab.

My undergraduate studies began at the University of Liverpool where I initially studied a three year Bsc in Anatomy and Human Biology before I transferred over to an integrated masters course. I spent much of my undergrad performing cadaveric dissection as part of my anatomy modules but my first taste of research during my honours project involved a practical and bioinformatic approach to identifying genetic biomarkers of Parkinson’s Disease.

During my masters, I stuck with the neuroscience theme and delved into some pharmacological studies attempting to reduce neuronal cell stress in response to Alzheimer’s disease by repurposing the anti-coagulant, heparin.

Interested in the molecular mechanisms of disease, I pursued a PhD at the University of Liverpool in cellular and molecular physiology. Here, I took a multi-disciplinary approach to understanding how mutations in the calcium sensing protein, calmodulin, contribute to cardiac arrhythmia and result in long-QT syndrome (LQTS) through altered modulation of the KV7.1 voltage gated potassium channel. By combining molecular biology, protein biophysics, electrophysiology and structural biology to answer my research questions, I have developed a keen interest in the structure-function relationships which govern cardiac activity.

PhD Project

Studying the multi-scale mechanisms of atrial fibrillation, from the sub-cellular to whole-organ scales.

Supervisors/collaborators: Mike Colman, Al Benson, Ed White, Tony Workman

Qualificatons:

• Bsc (Hons)   - Physics, University of Leeds, 2016
  
• Msc (Hons)   - Data Science and Analytics, University of Leeds, 2017
  
• PhD     - University of Leeds, 2022
  

Profile

I performed my PhD research in the Leeds Systems Physiology Lab, as part of the Cellular Cardiology group where I currently study and produce computational models of cardiac myocytes to study fibrillatory diseases, and how tools such as machine learning, genetic algorithms and image analysis can be utilised to further research within this field.

I originally studied BSc Physics as an undergraduate here at the University of Leeds, where I specialised in astrophysics and biophysics, before pursuing an MSc in Data Science and Analysis (University of Leeds). My BSc project looking at computational modelling of anti-chemotherapeutic drugs for an entropic analysis, and MSc project utilising machine learning to produce a dynamic population system to study the predator-prey relationships of extinct organisms through their fossil records gave me a unique cross-disciplinary skillset and understanding in applying mathematics, physics and computational science to study dynamic and complex processes, such as those within biological systems. A personal interest in cardiovascular diseases led me to my current research area where I study at the cross-section of maths, physical sciences, computing and biomedical science.

I am currently a PDRA at the University of Oxford. Links: University page

Dom worked with us for a year as a Wellcome Trust ISSF Research Fellow, looking at the role of cardiac microstructure in the development and behaviour of arrhythmias.

He now works with Gary Mirams at the University of Nottingham.

Links: University page , Google Scholar Page

Qualificatons:

• BSc (Hons)   Human Physiology, 2015
  
• PhD              - Biomedical Science, University of Leeds, 2019
  

Harley currently works as a Lecturer in Biomedical Sciences at Newcastle University, teaching across the biomedical science, physiological science and pharmacology programmes in the School of Biomedical, Nutritional and Sport Sciences.

Official staff page

Profile:

I studied BSc Human Physiology here at the University of Leeds (graduating in 2015), before pursuing a PhD in the School of Biomedical Sciences under the supervision or Dr Al Benson, Professor Ed White and Dr Michael Colman. During my PhD, I developed a novel computational model of rat-specific electrophysiology, including stochastic spatio-temporal calcium cycling descriptions, which can be used to study the influence of electrophysiological remodelling (in diseases such as heart failure) on pro-arrhythmic behaviour.

My PhD was funded through a University of Leeds Demonstrating Studentship, which allowed me to partake in over 500 hours of teaching duties within the Faculty of Biological Sciences, and I was fortunate enough to be awarded Associate Fellowship of the Higher Education Academy in my final year in recognition of my dedication to teaching in higher education. I remain passionate about teaching and educational development, and am interested in pedagogical alongside cardiovascular research.

Related publications

In press:

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Inward rectifier current downregulation promotes spontaneous calcium release in a novel model of rat ventricular electrophysiology." Computing in Cardiology 45, DOI:20.22489/CinC.2018.156.

Conference Proceedings:

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Spontaneous calcium release is promoted by inward rectifier current downregulation in a novel model of rat ventricular electrophysiology." 11th Multidisciplinary Cardiovascular Research Centre Retreat, Glenridding, UK, 21-22 March 2019.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Inward rectifier current downregulation promotes spontaneous calcium release in a novel computational model of rat ventricular electrophysiology." 45th Computing in Cardiology, Maastricht, Netherlands, 23-26 September 2018.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Inward rectifier current downregulation promotes spontaneous calcium release in a novel computational model of rat ventricular electrophysiology." Europhysiology, London, UK, 13-16 September 2018.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Spontaneous calcium release is promoted by inward rectifier current downregulation in a novel model of rat ventricular electrophysiology." The Heart by Numbers: Integrating Theory, Computation and Experimentation to Advance Cardiology. Berlin, Germany, 4-7 September 2018.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Mechanisms of arrhythmia triggers in heart failure predicted by a novel model of rat ventricular electrophysiology." LICAMM Early Career Science Day, Leeds, UK, 15 May 2018.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Mechanisms of arrhythmia triggers in heart failure predicted by a novel model of rat ventricular electrophysiology." 10th Multidisciplinary Cardiovascular Research Centre Retreat, Glenridding, UK, 15-16 March 2018.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Mechanisms of arrhythmia triggers in heart failure predicted by a novel model of rat ventricular electrophysiology." Future Physiology, Leeds, UK, 13-14 December 2017.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "A novel model of rat ventricular electrophysiology reveals mechanisms of spontaneous calcium release in heart failure." 44th International Congress on Electrocardiology, Portland, Oregon, USA, 24-27 June 2017.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Biophysical modelling of rat cardiac tissue electrophysiology and calcium handling: a platform for the effective integration of simulations and experiments." 25th Northern Cardiovascular Research Group Meeting, Manchester, UK, 20 April 2017.

Stevenson-Cocks HJ, Colman MA, White E and Benson AP. "Towards detailed biophysical modelling of rat cardiac tissue electrophysiology and calcium handling." 9th Multidisciplinary Cardiovascular Research Centre Meeting, Glenridding, UK, 23-24 March 2017