Prof. Ruth Baker | Mathematical Institute

Prof. Ruth Baker

M.Math., D.Phil.

Status:

Academic Faculty

Professor of Applied Mathematics

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Personal website:

http://www.iamruthbaker.com

ORCID iD:

https://orcid.org/0000-0002-6304-9333

Research groups:

Address

Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG

Recent Publications:

Travelling waves in a free boundary mechanobiological model of an epithelial tissue

Travelling waves in a free boundary mechanobiological model of an epithelial tissue
Murphy, R; Buenzli, P; Baker, R; Simpson, M
Applied Mathematics Letters volume 111 (1 January 2021)

StoSpa2: A C++ software package for stochastic simulations of spatially extended systems

StoSpa2: A C++ software package for stochastic simulations of spatially extended systems
Bartmanski, B; Baker, R
Journal of Open Source Software issue 50 volume 5 page 2293-2293 (19 June 2020)

Chaste: cancer, heart and soft tissue environment

Chaste: cancer, heart and soft tissue environment
Cooper, F; Baker, R; Bernabeu, M; Bordas, R; Bowler, L; Bueno-Orovio, A; Byrne, H; Carapella, V; Cardone-Noott, L; Cooper, J; Dutta, S; Fletcher, A; Grogan, J; Harvey, D; Hendrix, M; Kursawe, J; Maini, P; McMillan, B; Mirams, G; Osborne, J; Pathmanathan, P; Pitt-Francis, J; Robinson, M; Rodriguez, B; Gavaghan, D
Journal of Open Source Software issue 47 volume 5 page 1848-1848 (13 March 2020)

Pakman: a modular, efficient and portable tool for approximate Bayesian inference

Pakman: a modular, efficient and portable tool for approximate Bayesian inference
Pak, T; Baker, R; Pitt-Francis, J
Journal of Open Source Software issue 47 volume 5 page 1716-1716 (7 March 2020)

Practical parameter identifiability for spatio-temporal models of cell invasion

Practical parameter identifiability for spatio-temporal models of cell invasion
Simpson, M; BAKER, R; Vittadello, S; Maclaren, O
Journal of the Royal Society Interface issue 164 volume 17 (4 March 2020)

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.

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

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