Professor of Applied Mathematics
My research focuses on developing and applying novel mathematical, computational and statistical methodologies and modelling frameworks for investigating developmental biology systems at the cell and tissue level. I develop biologically realistic models that, used in tandem with experimental investigations, can provide fundamental insights into key biological mechanisms. An important aspect of my work is therefore multidisciplinary collaboration with theoreticians, life scientists and clinicians both within Oxford and further afield.
I also play a key role in QBIOX (https://www.qbiox.co.uk/), an MPLS-funded initiative to develop quantitative biology in Oxford.
Prizes, awards, and scholarships:
- Royal Society Wolfson Research Merit Award 2017-2022
- Leverhulme Research Fellowship 2017-2019
- London Mathematical Society Whitehead Prize 2014
Efficient Bayesian inference for mechanistic modelling with high-throughput data.
Martina Perez S. et al, (2022), PLoS Comput Biol, 18
Control of diffusion-driven pattern formation behind a wave of competency
Liu Y. et al, (2022), Physica D: Nonlinear Phenomena
Efficient Bayesian inference for mechanistic modelling with high-throughput data
Martina-Perez S. et al, (2022)
Symmetries of systems of first order ODEs: Symbolic symmetry
computations, mechanistic model construction and applications in biology
Borgqvist J. et al, (2022)
Parameter identifiability and model selection for sigmoid population growth models
Simpson MJ. et al, (2022), Journal of Theoretical Biology, 535, 110998 - 110998