CV

Education

MPhys in Theoretical Physics, University of Sheffield, 2011
PhD in Physics, University of Sheffield, 2015

Employment

2021 - present: Research Fellow
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds
- Duties included: Processing cardiac Diffusion Tensor Imaging data
- Supervisor: Professor Jurgen Schneider
2017 - 2021: Research Associate
- Department of Computer Science, INSIGNEO Institute for in silico medicine, University of Sheffield
- Duties included: Calibration of cardiac electrophysiology models
- Supervisor: Professor Richard Clayton
2015 - 2017: Research Associate
- Department of Physics and Astronomy, University of Sheffield
- Duties included: Emulation of complex models with Gaussian process emulators
- Supervisor: Professor Nigel Clarke

Skills

Uncertainty quantification
- model sensitivity
- probabilistic calibration with surrogate models
- Gaussian processes (including on non-Euclidean domains)
Processing medical data
- cardic MRI imaging data
- surface mesh manipulation
- electrophysiology data
Coding and software
- highly skilled in Python, experienced in Matlab, R, C++
- version control (git) for large collaborative software (e.g. https://dipy.org/team.html)
- developing and maintaining research software for teams with varying levels of computer skills

Publications

Optimising Cardiac Diffusion Tensor Imaging In Vivo: More Directions or Repetitions?

Sam Coveney, David Shelley, Richard Foster, Maryam Afzali, Ana-Maria Poenar, Noor Sharrack, Sven Plein, Erica Dall’Armellina, Jürgen Schneider, Christopher Nguyen, Irvin Teh, "Optimising Cardiac Diffusion Tensor Imaging In Vivo: More Directions or Repetitions?." Journal of Cardiovascular Magnetic Resonance, 2025.

Outlier detection in cardiac diffusion tensor imaging: Shot rejection or robust fitting?

Sam Coveney, Maryam Afzali, Lars Mueller, Irvin Teh, Arka Das, Erica Dall’Armellina, Filip Szczepankiewicz, Derek Jones, Jurgen Schneider, "Outlier detection in cardiac diffusion tensor imaging: Shot rejection or robust fitting?." Medical Image Analysis, 2025.

Robust constrained weighted least squares for in vivo human cardiac diffusion kurtosis imaging

Sam Coveney, Maryam Afzali, Lars Mueller, Irvin Teh, Filip Szczepankiewicz, Derek Jones, Jürgen Schneider, "Robust constrained weighted least squares for in vivo human cardiac diffusion kurtosis imaging." Magnetic Resonance in Medicine, 2025.

Cardiac diffusion kurtosis imaging in the human heart in vivo using 300 mT/m gradients

Maryam Afzali, Sam Coveney, Lars Mueller, Sarah Jones, Fabrizio Fasano, C. Evans, Irvin Teh, Erica Dall'Armellina, Filip Szczepankiewicz, Derek Jones, Jürgen Schneider, "Cardiac diffusion kurtosis imaging in the human heart in vivo using 300 mT/m gradients." Magnetic Resonance in Medicine, 2025.

Quantification of non-Gaussian diffusion in the human heart in vivo

Maryam Afzali, Lars Mueller, Sam Coveney, Sarah Jones, Fabrizio Fasano, John Evans, Irvin Teh, Erica Dall'Armellina, Filip Szczepankiewicz, Derek Jones, Jürgen Schneider, "Quantification of non-Gaussian diffusion in the human heart in vivo." https://archive.ismrm.org/2024/2575.html, 2024.

In vivo diffusion MRI of the human heart using a 300 mT/m gradient system

Maryam Afzali, Lars Mueller, Sam Coveney, Fabrizio Fasano, Christopher Evans, Maria Engel, Filip Szczepankiewicz, Irvin Teh, Erica Dall'Armellina, Derek Jones, Jürgen Schneider, "In vivo diffusion MRI of the human heart using a 300 mT/m gradient system." Magnetic Resonance in Medicine, 2024.

Measuring cardiomyocyte cellular characteristics in cardiac hypertrophy using diffusion‐weighted MRI

Mohsen Farzi, Sam Coveney, Maryam Afzali, Marie‐Christine Zdora, Craig Lygate, Christoph Rau, Alejandro Frangi, Erica Dall'Armellina, Irvin Teh, Jürgen Schneider, "Measuring cardiomyocyte cellular characteristics in cardiac hypertrophy using diffusion‐weighted MRI." Magnetic Resonance in Medicine, 2023.

Quantifying the impact of shape uncertainty on predicted arrhythmias

Cesare Corrado, Caroline Roney, Orod Razeghi, Josè Lemus, Sam Coveney, Iain Sim, Steven Williams, Mark O’Neill, Richard Wilkinson, Richard Clayton, Steven Niederer, "Quantifying the impact of shape uncertainty on predicted arrhythmias." Computers in Biology and Medicine, 2023.

Semi-Automated Rejection of Corrupted Images in Cardiac Diffusion Tensor Imaging

Sam Coveney, Chris Kelly, Irvin Teh, Maryam Afzali, Lars Mueller, Das Arka, Filip Szczepankiewicz, Derek Jones, Erica Dall'Armellina, Jürgen Schneider, "Semi-Automated Rejection of Corrupted Images in Cardiac Diffusion Tensor Imaging." https://archive.ismrm.org/2023/4292.html, 2023.

Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds

Sam Coveney, Caroline Roney, Cesare Corrado, Richard Wilkinson, Jeremy Oakley, Steven Niederer, Richard Clayton, "Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds." Scientific Reports, 2022.

Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate

Sam Coveney, Chris Cantwell, Caroline Roney, "Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate." Medical & Biological Engineering & Computing, 2022.

A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology

Sam Coveney, Cesare Corrado, Caroline Roney, Richard Wilkinson, Jeremy Oakley, Steven Niederer, Richard Clayton, "A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology." https://ieeexplore.ieee.org/document/10081830, 2022.

Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators

Sam Coveney, Cesare Corrado, Jeremy Oakley, Richard Wilkinson, Steven Niederer, Richard Clayton, "Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators." Frontiers in Physiology, 2021.

Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats

S. Longobardi, A. Lewalle, S. Coveney, I. Sjaastad, E. Espe, W. Louch, C. Musante, A. Sher, S. Niederer, "Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020.

Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity

Sam Coveney, Cesare Corrado, Caroline Roney, Daniel O’Hare, Steven Williams, Mark O’Neill, Steven Niederer, Richard Clayton, Jeremy Oakley, Richard Wilkinson, "Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020.

Creation and application of virtual patient cohorts of heart models

S. Niederer, Y. Aboelkassem, C. Cantwell, C. Corrado, S. Coveney, E. Cherry, T. Delhaas, F. Fenton, A. Panfilov, P. Pathmanathan, G. Plank, M. Riabiz, C. Roney, R. Santos, L. Wang, "Creation and application of virtual patient cohorts of heart models." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020.

Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions

Cesare Corrado, Orod Razeghi, Caroline Roney, Sam Coveney, Steven Williams, Iain Sim, Mark O’Neill, Richard Wilkinson, Jeremy Oakley, Richard Clayton, Steven Niederer, "Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions." Medical Image Analysis, 2020.

Sensitivity and Uncertainty Analysis of Two Human Atrial Cardiac Cell Models Using Gaussian Process Emulators

Sam Coveney, Richard Clayton, "Sensitivity and Uncertainty Analysis of Two Human Atrial Cardiac Cell Models Using Gaussian Process Emulators." Frontiers in Physiology, 2020.

Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds

Sam Coveney, Cesare Corrado, Caroline Roney, Richard Wilkinson, Jeremy Oakley, Finn Lindgren, Steven Williams, Mark O’Neill, Steven Niederer, Richard Clayton, "Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds." IEEE Transactions on Biomedical Engineering, 2020.

An Algorithm to Sample an Anatomy With Uncertainty

Cesare Corrado, Steven Williams, Iain Sim, Sam Coveney, Mark O'Neill, Richard Wilkinson, Jeremy Oakley, Richard Clayton, Steven Niederer, "An Algorithm to Sample an Anatomy With Uncertainty." http://www.cinc.org/archives/2018/pdf/CinC2018-078.pdf, 2018.

Fitting two human atrial cell models to experimental data using Bayesian history matching

Sam Coveney, Richard Clayton, "Fitting two human atrial cell models to experimental data using Bayesian history matching." Progress in Biophysics and Molecular Biology, 2018.

Drop spreading and drifting on a spatially heterogeneous film: capturing variability with asymptotics and emulation

Feng Xu, Sam Coveney, Oliver Jensen, "Drop spreading and drifting on a spatially heterogeneous film: capturing variability with asymptotics and emulation." Journal of Engineering Mathematics, 2018.

Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia

Barbara Johnston, Sam Coveney, Eugene Chang, Peter Johnston, Richard Clayton, "Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia." Medical & Biological Engineering & Computing, 2018.

Variance Based Sensitivity Analysis of I_Kr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators

Eugene Chang, Sam Coveney, Richard Clayton, "Variance Based Sensitivity Analysis of I_Kr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators." https://link.springer.com/chapter/10.1007/978-3-319-59448-4_24, 2017.

Sam Coveney

CV

Education

Employment

Skills

Publications

Teaching