Professor of Applied Mathematics
+44 1865 283893
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Robustly simulating biochemical reaction kinetics using multi-level Monte Carlo approaches
JOURNAL OF COMPUTATIONAL PHYSICS volume 375 page 1401-1423 (15 December 2018) Full text available
The impact of experimental design choices on parameter inference for models of growing cell colonies.
Royal Society open science issue 8 volume 5 page 180384- (29 August 2018)
Scalable population-level modelling of biological cells incorporating mechanics and kinetics in continuous time.
Royal Society open science issue 8 volume 5 page 180379- (August 2018)
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)
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