School of Mathematical Sciences
Alexander Browning is a Hooke Research Fellow in mathematical biology at the Mathematical Institute, University of Oxford. He received his undergraduate and postgraduate qualifications from the Queensland University of Technology in Brisbane, Australia. Dr Browning's research lies at the interface of mathematics, statistics, and experimental science, using applied mathematics to provide insight into complex biological systems.
A Bayesian Computational Approach to Explore the Optimal Duration of a Cell Proliferation Assay.
Bulletin of mathematical biology Aug, 2017 | Pubmed ID: 28660546
Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data.
Journal of theoretical biology 01, 2018 | Pubmed ID: 29102643
Three-dimensional experiments and individual based simulations show that cell proliferation drives melanoma nest formation in human skin tissue.
BMC systems biology 03, 2018 | Pubmed ID: 29587750
A Bayesian Sequential Learning Framework to Parameterise Continuum Models of Melanoma Invasion into Human Skin.
Bulletin of mathematical biology 03, 2019 | Pubmed ID: 30443704
Optimal control of acute myeloid leukaemia.
Journal of theoretical biology 06, 2019 | Pubmed ID: 30853393
Reversible signal transmission in an active mechanical metamaterial.
Proceedings. Mathematical, physical, and engineering sciences Jul, 2019 | Pubmed ID: 31423095
Designing combination therapies using multiple optimal controls.
Journal of theoretical biology 07, 2020 | Pubmed ID: 32294472
Identifying density-dependent interactions in collective cell behaviour.
Journal of the Royal Society, Interface 04, 2020 | Pubmed ID: 32343933
Persistence as an Optimal Hedging Strategy.
Biophysical journal 01, 2021 | Pubmed ID: 33253635
Identifiability analysis for stochastic differential equation models in systems biology.
Journal of the Royal Society, Interface 12, 2020 | Pubmed ID: 33323054
Profile likelihood analysis for a stochastic model of diffusion in heterogeneous media.
Proceedings. Mathematical, physical, and engineering sciences Jun, 2021 | Pubmed ID: 34248392
Model-based data analysis of tissue growth in thin 3D printed scaffolds.
Journal of theoretical biology 11, 2021 | Pubmed ID: 34358535
Quantitative analysis of tumour spheroid structure.
eLife 11, 2021 | Pubmed ID: 34842141
Parameter identifiability and model selection for sigmoid population growth models.
Journal of theoretical biology 02, 2022 | Pubmed ID: 34973274
Designing and interpreting 4D tumour spheroid experiments.
Communications biology 01, 2022 | Pubmed ID: 35075254
A stochastic mathematical model of 4D tumour spheroids with real-time fluorescent cell cycle labelling.
Journal of the Royal Society, Interface 04, 2022 | Pubmed ID: 35382573
Parameter estimation and uncertainty quantification using information geometry.
Journal of the Royal Society, Interface 04, 2022 | Pubmed ID: 35472269
Identifying cell-to-cell variability in internalization using flow cytometry.
Journal of the Royal Society, Interface 05, 2022 | Pubmed ID: 35611619
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