Prof. Ruth Baker
M.Math., D.Phil.
Pronouns
She / Her
Status
Academic Faculty
Professor of Applied Mathematics
Research groups
Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Highlighted publications
Travelling waves in a minimal go-or-grow model of cell invasion
Falcó I Gandia, C Crossley, R Baker, R Applied Mathematics Letters volume 158 (04 Jul 2024) Quantifying cell cycle regulation by tissue crowding
Falcó I Gandia, C Cohen, D Carrillo De La Plata, J Baker, R Biophysical Journal volume 124 923-932 (06 May 2024) Structural identifiability analysis of linear reaction–advection–diffusion processes in mathematical biology
Browning, A Tasca, M Falco, C Baker, R Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 480 issue 2286 (27 Mar 2024) Parameter identifiability and model selection for partial differential equation models of cell invasion
Liu, Y Suh, K Maini, P Cohen, D Baker, R Journal of the Royal Society Interface volume 21 (06 Mar 2024) A mathematical framework for the emergence of winners and losers in cell competition.
Pak, T Pitt-Francis, J Baker, R Journal of theoretical biology volume 577 111666-111666 (11 Nov 2023) A local continuum model of cell-cell adhesion
Falcó, C Baker, R Carrillo, J SIAM Journal on Applied Mathematics (18 Nov 2022) http://arxiv.org/abs/2206.14461v1 Efficient Bayesian inference for mechanistic modelling with high-throughput data.
Martina Perez, S Sailem, H Baker, R PLoS computational biology volume 18 issue 6 e1010191-e1010191 (21 Jun 2022) Quantifying the impact of electric fields on single-cell motility.
Prescott, T Zhu, K Zhao, M Baker, R Biophysical journal volume 120 issue 16 3363-3373 (Aug 2021) Prizes, awards, and scholarships
- Simons Investigator, Theoretical Physics in Life Sciences - 2024-2029
- Royal Society Wolfson Research Merit Award - 2017-2022
- Fellow of the Institute of Mathematics and Its Applications (FIMA) - 2021
- Fellow of the Royal Society of Biology (FRSB) - 2020
- Leverhulme Research Fellowship - 2017-2019
- London Mathematical Society Whitehead Prize - 2014
Recent publications
Approaches for Assessing Parameter Identifiability in Mathematical Biology
Simpson, M Baker, R Bulletin of Mathematical Biology volume 88 issue 9 153 (10 Sep 2026) Reliable mechanistic operator recovery with biologically-informed neural networks: principles for architecture and optimisation design
Crossley, R Yin, Y Waters, S Baker, R (08 Jul 2026) https://arxiv.org/abs/2607.07425v1 Structural functional identifiability and model discovery in differential equation models
Loman, T Browning, A Baker, R (29 Jun 2026) https://arxiv.org/abs/2606.30289v1 Spatial correlations in susceptible-infected-susceptible processes on random regular graphs
Leibenzon, A Johnson, S Baker, R Assaf, M Physical Review E volume 113 issue 6 (18 Jun 2026) Correction: ‘Structural identifiability analysis of linear reaction–advection–diffusion processes in mathematical biology’ (2024), by Browning et al.
Browning, A Taşcă, M Falcó, C Baker, R Proceedings of the Royal Society A volume 482 issue 2340 20260384 (15 Jun 2026) A likelihood-based framework for simultaneously learning both noise and growth dynamics using biologically-informed neural networks
Crossley, R Baker, R (11 Jun 2026) https://arxiv.org/abs/2606.13475v1 Optimal experiment design for practical parameter identifiability and model discrimination
Liu, Y Maini, P Baker, R Mathematical Biosciences volume 399 (22 May 2026) Reliable model selection in the presence of parameter non-identifiability
Foo, Y Loman, T Browning, A Siekmann, I Baker, R Flegg, J (19 May 2026) https://arxiv.org/abs/2605.19807v1 Research interests
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.