Professor of Applied Mathematics
+44 1865 283893
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
The impact of temporal sampling resolution on parameter inference for biological transport models.
PLoS computational biology issue 6 volume 14 page e1006235- (25 June 2018)
Topology-dependent density optima for efficient simultaneous network exploration.
Physical review. E issue 6-1 volume 97 page 062301- (June 2018)
Quasi-Monte Carlo Methods Applied to Tau-Leaping in Stochastic Biological Systems.
Bulletin of mathematical biology (25 May 2018)
Mechanistic models versus machine learning, a fight worth fighting for the biological community?
Biology letters issue 5 volume 14 (May 2018)
Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues.
Journal of theoretical biology volume 443 page 66-81 (April 2018)
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 (www.qbiox.ox.ac.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