Kevin Burrage
Interests
1. Professional and Social Background
I was Professor of Computational Systems Biology at the Department of Computer Science, University of Oxford and the Oxford Centre for Integrative Systems Biology from 2007-2015. I am now a Visiting Professor to the Department from 2016-2019. I am a member of the Computational Cardiac Modelling and Simulation group within Computer Science.
I continue to share my time between Oxford and the School of Mathematics at the Queensland University of Technology (QUT http://www.qut.edu.au), Brisbane, Australia, where I am Professor of Computational Mathematics.
I was a supernumerary fellow of New College at Oxford University between 2008-2012. Before coming to Oxford I was a Federation Fellow of the Australian Research Council (2003-2008) at the University of Queensland.
I am married to Pamela, who is also in the Mathematics Department at QUT, and we have two children at Queensland. Matt has finished his medical program and is a registrar, Lauren is her final year of her Medical program.
Here is my Google scholar link http://scholar.google.co.uk/citations?user=voY5Z00AAAAJ&hl=en&oi=ao
2. Contact Details
- UK:Email: kevin.burrage@cs.ox.ac.uk
- UK: Phone: +44 01865 283568
- Aus: Email: kevin.burrage@gmail.com
3. Broad Academic Interests
I have general interests in
- Computational Mathematics
- Computational and Systems Biology
- Stochastic modelling for the Life Sciences
- Multiscale modelling and simulation
- Cardiac electrophysiological modelling
4. Collaborators at Oxford
My main collaborators at Oxford are
- Blanca Rodriguez - the Cardiac modelling and simulation group in CS
- Alfonso Bueno-Orovio - the Cardiac modelling and simulation group in CS
- David Kay - the lung modelling group in CS
- Vicente Grau - Bio-Engineering
- Annamaria Carrusi - now at the University of Copenhagen
- Within the Computational Cardiac Modelling and Simulation group we have links to pharmas, cardiologists and experimentalists.
5. DPhil students at Oxford (past and present)
- Ciara Dangerfield (joint supervision with Blanca Rodriguez and David Kay) - graduated 2012
- John Walmsley (joint supervision with Blanca Rodriguez) - graduated 2013
- Alex Robson (joint supervision with Mark Leake)- graduated 2013
- Phil Gemmell (joint supervision with Blanca Rodriguez, Alex Quinn)
- Tamas Szekely
- Jean- Charles Seguis (joint supervision with David Kay)
- Valentina Carapella (joint supervision with Vicente Grau, Raf Bordas)
- Anna Jones (joint supervision with Helen Byrne)
- Xin Zhou (joint supervision with Blanca Rodriguez, Alfonso Bueno-Orovio)
- Louie Cardone-Noott (joint supervision with Blanca Rodriguez, Alfonso Bueno-Orovio)
6. Specific research projects
My current main research project is to understand how structure and dynamics, whether it be at the cell level or at tissue level, inform function. The main focus here is in the electrophysiology of the heart. At the cell level we have developed new stochastic techniques for simuating ion channel dynamics. While at the tissue level we are developing a new theory based on fractional diffusion to offer insights into the dyamics of cardiac electrophysiology in the setting of heterogeneous tissue. We have a paper submitted to Nature Communications and we are currently validating our model against Diffusion Tensor MRI data.
7. Selected Publications
Here are some recent papers that I have done in the last three years: Reprints can be obtained from me via email.
A. Bueno-Orovio, D. Kay, V. Grau, B. Rodriguez and K. Burrage (2013): .Fractional diffusion models of cardiac electrical propagation reveal structural heterogeneity effects on dispersion of repolarization, submitted to Nature Communications.
A. Bueno-Orovio, D. Kay, K. Burrage (2013): Fourier spectral methods for fractional-in-space reaction-diffusion equations, submitted.
D. Kay, I. Turner, N. Cusimano, K. Burrage (2013): Reflections from a boundary: reflecting boundary conditions for space-fractional partial differential equations on bounded domains, submitted.
J. Walmsley, J. F. Rodriguez, G. R. Mirams, K. Burrage, I. R. Efimov, B. Rodriguez (2013): mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: A population-based simulation study, PLoS ONE 8(2): e56359. doi:10.1371/journal.pone.0056359.
T. Szekely, K. Burrage, R. Erban, K. C. Zygalakis (2012): A higher-order numerical framework for stochastic simulation of chemical reaction systems, BMC Systems Biology.2012, 6:85, DOI: 10.1186/1752-0509-6-85.
C. Dangerfield, D. Kay and K. Burrage (2012): Modeling ion channel dynamics through reflected stochastic differential equations, 15 May 2012, Physical Review E., Vol.85, No.5.
A. Carusi, K. Burrage, B. Rodriguez (2012): Bridging Experiments, Models and Simulations: An Integrative Approach to Validation in Computational Cardiac Electrophysiology, Am. J. Physiology, 2012 Jul 15;303(2):H144-55.
A. Robson, K. Burrage and M.C. Leake (2013): Inferring diffusion in single live cells at the single molecule level, Royal Soc. Philosophical Transactions B, 368 (1611): 20120029.
K. Burrage, N. Hale and D. Kay (2012): An efficient implementation of an implicit FEM scheme for fractional-in-space reaction-diffusion equations, SIAM J. Sci. Comput., 34(4), A2145–A2172.
E. Pueyo‚ A. Corrias, L. Virag‚ N. Jost‚ T. Szel, A. Varro, N. Szentandrassy, P. Nanasi‚ K. Burrage and B. Rodriguez (2011): A multi−scale investigation of repolarization variability and its role in cardiac arrhythmogenesis, Biophys, Vol. 101, Iss. 12, 2892-2902, 21 December 2011.
B. Rodriguez, K.Burrage, D. Gavaghan, V. Grau P. Kohl, and D.Noble, (2010): Cardiac Applications of the Systems Biology Approach to Drug Development, Clinical Pharmacology & Therapeutics (2010) 88 1, 130–134. doi:10.1038/clpt.2010.95.
D. Abramson M. Bernabeu, B. Bethwaite, K. Burrage, A. Corrias, C. Enticott, S. Garic, D. Gavaghan, T. Peachey, J. Pitt-Francis, E. Pueyo, B. Rodriguez, A., Sher and J. Tan (2010): High-throughput cardiac science on the Grid, Phil Trans A, Phil. Trans. R. Soc. A (2010) 368, 3907–3923.
D. Mortimer, J. Feldner, T. Vaughan, I. Vetter, Z. Pujic, W.J. Rosoff, K. Burrage, P. Dayan, L.J. Richards and G.J. Goodhill (2009): A Bayesian model predicts the response of axons to molecular gradients, PNAS, June 23, Vol. 106, No. 25, 10296-10301.
S. MacNamara, A. M. Bersani, K.Burrage and R. B. Sidje (2008): Stochastic chemical kinetics and the total quasi-steady-state assumption: application to the stochastic simulation algorithm and chemical master equation, Journal of Chemical Physics, 129, 2008 Sep 7;129(9):095105.
A. Leier, T. T. Marquez-Lago, and K.Burrage (2008): Generalized binomial Tau-leap method for biochemical kinetics incorporating both delay and intrinsic noise, Journal of Chemical Physics, 128, 205107.
Selected Publications
-
Application of stochastic phenomenological modelling to cell−to−cell and beat−to−beat electrophysiological variability in cardiac tissue
John Walmsley‚ Gary R Mirams‚ Joe Pitt−Francis‚ Blanca Rodriguez and Kevin Burrage
In Journal of theoretical biology. Vol. 365. Pages 325–336. 2015.
Details about Application of stochastic phenomenological modelling to cell−to−cell and beat−to−beat electrophysiological variability in cardiac tissue | BibTeX data for Application of stochastic phenomenological modelling to cell−to−cell and beat−to−beat electrophysiological variability in cardiac tissue | DOI (10.1016/j.jtbi.2014.10.029)
-
Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization
A. Bueno−Orovio‚ D. Kay‚ V. Grau‚ B. Rodriguez and K. Burrage
In J R Soc Interface. Vol. 11. No. 97. Pages 20140352. 2014.
Details about Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization | BibTeX data for Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization | DOI (10.1098/rsif.2014.0352) | Link to Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization
-
Fourier spectral methods for fractional−in−space reaction−diffusion equations
A. Bueno−Orovio‚ D. Kay and K. Burrage
In BIT Numerical Mathematics. 2014.
Details about Fourier spectral methods for fractional−in−space reaction−diffusion equations | BibTeX data for Fourier spectral methods for fractional−in−space reaction−diffusion equations | DOI (10.1007/s10543-014-0484-2)