- Bachelor of Applied Science (Honours) (Maths major, physics comajor)
- PhD, Applied Mathematics (Theoretical Biology)
I’m looking at the effects of variability between different hearts on their susceptibility to disease and their responses to drug treatments. I work with mathematical models of cardiac electrophysiology (ODEs and PDEs) and make use of statistical and Bayesian techniques to facilitate working with (or around!) the complexities and high computational costs of these models.
- Cardiac electrophysiology
- Gaussian process regression for emulation
- Sequential monte carlo
- Inverse problems
- Pattern formation in simple systems
- Mathematical representation of real-life processes
Lawson, B., Pettet, G. (2017) Space-limited mitosis in the Graner-Glazier-Hogeweg model, Bull. Math. Biol., 79, 1-20.
Drovandi, C., Cusimano, N., Psaltis, S., Lawson, B., Pettitt, A., Burrage, P. & Burrage, K. (2016) Sampling Methods for Exploring Between Subject Variability in Cardiac Electrophysiology Experiments, J. R. Soc. Interface, 13, 20160214.
Psaltis, S., Green, J. Farrell, T. Lawson, B. & Simpson, J. (2016). Optimising cheese brining times. Proceedings of the 2014 Mathematics and Statistics in Industry Group, MISG-2014.
Lawson, B. & Flegg, M. (2016). A mathematical model for the induction of the mammalian ureteric bud. J. Theor. Biol., 394, 43-56.
Adams, M., Ferguson, A., Maxwell, P., Lawson, B., Samper-Villarreal J. & O’Brien, K. (2016).Light history-dependent respiration explains the hysteresis in the daily ecosystem metabolism of seagrass. Hydrobiologia, 766, 75-88.
Sweatman, W., Psaltis, S., Dargavile, S., Fitt, A., Gibb, T., Lawson, B. & Marion, K. (2014).The mathematical modelling of cheese ripening. ANZIAM J., 55, M1-M38.