Professor Kevin Burrage
Faculty of Science,
School of Mathematical Sciences
Biography
BackgroundProfessor Burrage completed his PhD in Computational Mathematics from the University of Auckland in 1978. In his early academic years he was at the University of Auckland (NZ), the University of Sussex (UK), the University of Liverpool (UK). In 1991 he was appointed to the Chair of Computational Mathematics the University of Queensland. He established the Advanced Computational Modelling Centre at the University of Queensland in 1995 and was Director of that centre for 12 years. He was also the founding CEO of the Queensland Parallel Supercomputing Facility in 1999. He was awarded a Federation Fellowship of the Australian Research Council from 2003-2008. In 2008 he was made Professor of Computational Systems Biology in the Computational Biology group within both the Department of Computer Science and the Centre for Integrative Systems Biology at the University of Oxford. He had this position until October 2015. He shared his time between Oxford and as Professor of Computational Mathematics at QUT, from 2010 until 2015 and continues in this role at QUT. He was made a Visiting Professor to the Department of Computer Science at the University of Oxford from 2016 to 2019. His current research interests are in Computational Mathematics and Computational Biology.
Research Interests
Professor Burrage’s main research interests are in the fields of Computational Mathematics, Computational Biology and Systems Biology. He made his first contribution to the field of the numerical solution of differential equations in 1978 and has over 250 peer reviewed journal publications, with over 10,000 citations and an H index of 55. He has written a book on Parallel and Sequential methods for Ordinary Differential Equations (OUP 1995). He became interested in the modelling of heterogeneity in biological applications ten years ago and has written a number of papers on this. In particular, since being at Oxford he has worked with clinicians and physiologists in heart modelling to explore the effects of human heart disease through mathematical models.
Contribution
Professor Burrage has attracted over $30Million dollars in competitive research funds within Australia since 1994. In the last ten years Professor Burrage has made significant contributions in the field of Computational and Systems Biology (with a focus on the role of noise in Biological systems in his Federation Fellowship). In this setting, Professor Burrage has addressed challenging problems in genetic regulation and cellular kinetics through sophisticated stochastic multi-scaled modelling and simulation incorporating intrinsic and extrinsic noise. His Computational Biology research has appeared in journals with high impact factors, such as Nature Genetics (24.695), PNAS (10.452), Molecular and Cellular Biology (7.822), PLOS Computational Biology (6), BMC Bioinformatics (5.423), Bioinformatics (6.019), Biophysical Journal (4.585), Progress in Biophysics and Molecular Biology (4.551), Proteins (4.429) and the Journal of Chemical Physics (3.105).
Recognition and achievement
Professor Burrage was awarded (in conjunction with the Queensland Department of Primary Industries) the Federal Government Gold Technology Productivity Award for high performance computing software environment for drought modelling in 1994. More recently he was part of both the ARC Centre in Bioinformatics and the ARC Centre for Complex Systems. He is now a CI in the ARC Centre of Excellence ACEMS. From 2003-2008 he was a Federation Fellow of the ARC. In 2004-2005 he was the Oliver Smithies Fellow to Balliol College, Oxford – a prestigious appointment which has included Nobel Prize winners as past fellows. In 2013 he was made an Honorary Fellowship of the European Society of Computational Methods in Sciences, Engineering and Technology, for outstanding contributions in Computational Mathematics. In 2017 he was made the Crawford Miller Visiting Fellow to St. Cross College, Oxford
Personal details
Positions
- Professor of Computational Maths
Faculty of Science,
School of Mathematical Sciences
Research field
Applied mathematics, Numerical and computational mathematics, Statistics
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (University of Auckland)
Teaching
Professor Burrage has extensive academic experience at both the undergraduate and postgraduate level from the University of Oxford, U.K, the University of Auckland, New Zealand, and the University of Queensland, Australia. He has supervised/supervising 43 PhD students in the last sixteeen years, and has also given extensive lecture series to graduate students in Sweden, Italy, South Africa (The African Institute for Mathematical Sciences) and New Zealand.
Experience
Industry
Professor Burrage was founding CEO of the Queensland Parallel Supercomputing (QPSF) from 2000-2001 and took leading roles within APAC (The Australian Partnership for Advanced Computing). QPSF was the conduit between State Government and the Queensland Universities in the area of advanced computing. As CEO, Professor Burrage was responsible for a team of over 20 researchers and educationalists in advanced computing and industry applications.
Conferences
Professor Burrage has been an invited/plenary speaker at over 30 conferences in Computational Science and Computational Biology in the last 18 years.
Boards and journal editorial
He has been on the editorial board of 8 journals, including SIAM Scientific Computing.
Publications
- Lakhani, S., Burrage, K., Simmons, A., Burrage, P. & Nicolau Jr., D. (2017). Environmental factors in breast cancer invasion: a mathematical modelling review. Pathology, 49(2), 172–180. https://eprints.qut.edu.au/105433
- Bueno-Orovio, A., Kay, D. & Burrage, K. (2014). Fourier spectral methods for fractional-in-space reaction-diffusion equations. BIT Numerical Mathematics, 54(4), 937–954. https://eprints.qut.edu.au/88502
- Bueno-Orovio, A., Kay, D., Grau, V., Rodriguez, B. & Burrage, K. (2014). Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization. Journal of the Royal Society Interface, 11(97), 1–12. https://eprints.qut.edu.au/88594
- Gemmell, P., Burrage, K., Rodriguez, B. & Quinn, T. (2014). Population of computational rabbit-specific ventricular action potential models for investigating sources of variability in cellular repolarisation. PLoS One, 9(2), 1–13. https://eprints.qut.edu.au/88601
- Walmsley, J., Rodriguez, J., Mirams, G., Burrage, K., Efimov, I. & Rodriguez, B. (2013). mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: a population-based simulation study. PLoS One, 8(2), 1–11. https://eprints.qut.edu.au/77147
- Burrage, K., Hale, N. & Kay, D. (2012). An efficient implicit FEM scheme for fractional-in-space reaction-diffusion equations. SIAM Journal of Scientific Computing, 34(4). https://eprints.qut.edu.au/76874
- Carusi, A., Burrage, K. & Rodriguez, B. (2012). Bridging experiments, models and simulations: an integrative approach to validation in computational cardiac electrophysiology. American Journal of Physiology - Heart and Circulatory Physiology, 303(2). https://eprints.qut.edu.au/75632
- Pueyo, E., Corrias, A., Virag, L., Jost, N., Szel, T., Varro, A., Szentandrassy, N., Nanasi, P., Burrage, K. & Rodriguez, B. (2011). A multiscale investigation of repolarization variability and its role in cardiac arrhythmogenesis. Biophysical Journal, 101(12), 2892–2902. https://eprints.qut.edu.au/52151
- Deleyrolle, L., Ericksson, G., Morrison, B., Lopez, J., Burrage, K., Burrage, P., Vescovi, A., Rietze, R. & Reynolds, B. (2011). Determination of somatic and cancer stem cell self-renewing symmetric division rate using sphere assays. PLoS One, 6(1), 1–11. https://eprints.qut.edu.au/77099
- Rodriguez, B., Burrage, K., Gavaghan, D., Grau, V., Kohl, P. & Noble, D. (2010). The Systems Biology Approach to Drug Development: Application to Toxicity Assessment of Cardiac Drugs. Clinical Pharmacology and Therapeutics, 88(1), 130–134. https://eprints.qut.edu.au/42656
QUT ePrints
For more publications by Kevin, explore their research in QUT ePrints (our digital repository).
Selected research projects
- Title
- A Multiscale Modelling Framework for Mechanical Properties of ECM
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP150100828
- Start year
- 2015
- Keywords
- Hierarchical multiscale modelling; Mechanical behaviour; Extracellular Matrix
- Title
- Image-based Multiscale Modelling of Transport Phenomena in Porous Media
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP150103675
- Start year
- 2015
- Keywords
- Multi-scale modelling and heterogeneity; Computational Mathematics; nonlocal spatial models
- Title
- ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights (ACEMS)
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- CE140100049
- Start year
- 2014
- Keywords
- Title
- From Genes to Organ Function: Understanding how Heterogeneity in Tissue Modulates Cellular Behaviour in the Heart
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP120103770
- Start year
- 2012
- Keywords
- Heterogeneous Computing; Cardiovascular System; Mathematical Modelling; Simulation Algorithm
- Title
- A Grid Based Platform for Multi-Scaled Biological Simulation
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP1094333
- Start year
- 2010
- Keywords
- Grid Computing; Middleware; Cardiac Modeling; Computational Mathematics; Multiscaled BiologicalModelingand Simulation
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.