Prof. Eamonn Gaffney

Status

Academic Faculty

Professor of Applied Mathematics

Tutorial Fellow, Senior Mathematics Tutor, Tutor for Graduates, Brasenose College

Contact form

http://people.maths.ox.ac.uk/gaffney/

+44 1865 283876

ORCID iD

https://orcid.org/0000-0002-6888-4362

Research groups

Mathematical Biology

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

Recent publications

Hydrodynamic slender-body theory for local rotation at zero Reynolds number

Walker, B Ishimoto, K Gaffney, E Physical Review Fluids volume 8 issue 3 (02 Mar 2023)

The developmental basis of fingerprint pattern formation and variation

Glover, J Sudderick, Z Shih, B Bartho-Samblas, C Charlton, L Krause, A Anderson, C Riddell, J Balic, A Li, J Klika, V Woolley, T Gaffney, E Corsinotti, A Anderson, R Johnston, L Brown, S Wang, S Chen, Y Crichton, M Headon, D Cell (09 Feb 2023)

Concentration-dependent domain evolution in reaction–diffusion systems

Krause, A Gaffney, E Walker, B Bulletin of Mathematical Biology volume 85 (13 Jan 2023)

Upscaling the Poisson–Nernst–Planck equations for ion transport in weakly heterogeneous charged porous media

Klika, V Gaffney, E Applied Mathematics Letters volume 137 (12 Nov 2022)

De-risking clinical trial failure through mechanistic simulation

Brown, L Wagg, J Darley, R van Hateren, A Elliott, T Gaffney, E Coles, M Immunotherapy Advances volume 1 issue 2 (23 Aug 2022)

Fixed and distributed gene expression time delays in reaction–diffusion systems

Sargood, A Gaffney, E Krause, A Bulletin of Mathematical Biology volume 84 issue 9 (07 Aug 2022)

Analysis of cellular kinetic models suggest that physiologically based model parameters may be inherently, practically unidentifiable.

Brown, L Coles, M McConnell, M Ratushny, A Gaffney, E Journal of pharmacokinetics and pharmacodynamics (06 Aug 2022)

Research interests

My research objectives are typically to extract the macroscale consequences of mechanisms operating at much smaller scales, usually the microbiological level, for instance how cells interact and signal, together with the associated biophysics of reaction, diffusion, deformation and flow. This requires detailed mathematical modelling, combined with mathematical analyses, asymptotics, computation and model interpretation within numerous application areas of the life and biomedical sciences. The application areas include cell motility, especially flagellated cell swimming, bacterial dynamics, ecological invasions and mechanisms of biological self-organisation together with the modelling of select processes in physiological transport and solid tumour development.