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 multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation
PRESCOTT T. et al, (2023), Journal of Computational Physics
Parameter identifiability and model selection for partial differential
equation models of cell invasion
Liu Y. et al, (2023)
Travelling waves in a coarse-grained model of volume-filling cell invasion: Simulations and comparisons
Crossley R. et al, (2023), Studies in Applied Mathematics
Energy translation symmetries and dynamics of separable autonomous two-dimensional ODEs
Borgqvist J. et al, (2023), Physica D: Nonlinear Phenomena
Quantifying tissue growth, shape and collision via continuum models and Bayesian inference.
Falcó C. et al, (2023), Journal of the Royal Society, Interface, 20, 20230184 - 20230184