Professor of Applied Mathematics
+44 1865 283893
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
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)
Discrete and Continuum Approximations for Collective Cell Migration in a Scratch Assay with Cell Size Dynamics.
Bulletin of mathematical biology issue 4 volume 80 page 738-757 (April 2018)
Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process
npj Systems Biology and Applications issue 1 volume 3 (10 December 2017)
DAN (NBL1) promotes collective neural crest migration by restraining uncontrolled invasion.
The Journal of cell biology issue 10 volume 216 page 3339-3354 (October 2017)
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