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Prof. Helen Byrne

DPhil, MSc, BA/MA
Status
Academic Faculty

Professor of Applied Mathematics

Tutorial Fellow, Keble College

 

Previous Roles:

Examiner for Final Honour School Mathematics (Panel B)

Associate Head of Department, Planning and Equality and Diversity

Senior Mathematics Tutor, Keble College

Director of Equality and Diversity, MPLS Division

 

 

Contact form
+44 1865 615149
ORCID iD
https://orcid.org/0000-0003-1771-5910
Research groups
  • Mathematical Biology

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

Recent publications
Statistical and topological summaries aid disease detection for segmented retinal vascular images
Nardini, J Pugh, C Byrne, H Microcirculation (02 Feb 2023)
A new lipid-structured model to investigate the opposing effects of LDL and HDL on atherosclerotic plaque macrophages.
Chambers, K Myerscough, M Byrne, H Math Biosci volume 357 108971- (28 Jan 2023) https://www.ncbi.nlm.nih.gov/pubmed/36716850
Correction: Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients.
Ryou, H Sirinukunwattana, K Aberdeen, A Grindstaff, G Stolz, B Byrne, H Harrington, H Sousos, N Godfrey, A Harrison, C Psaila, B Mead, A Rees, G Turner, G Rittscher, J Royston, D Leukemia (12 Jan 2023)
Two-phase model of compressive stress induced on a surrounding hyperelastic medium by an expanding tumour
Remesan, G Flegg, J Byrne, H Journal of Mathematical Biology volume 86 issue 1 (20 Dec 2022)
Designing experimental conditions to use the Lotka–Volterra model to infer tumor cell line interaction types
Cho, H Lewis, A Storey, K Byrne, H Journal of Theoretical Biology (05 Dec 2022)
Teaching
  • M5: Multivariable calculus
  • B5.2: Applied Partial Differential Equations
  • B5.5: Further Mathematical Biology
Research interests

​My research focuses on the development and analysis of mathematical and computational models that describe biomedical systems, with particular application to the growth and treatment of solid tumours, wound healing and tissue engineering. My aims in studying such models are two-fold: to identify the mechanisms responsible for observed biomedical phenomena and to abstract from the resulting mathematical models novel features that merit theoretical investigation. 

Preferred address
Mathematical InstituteUniversity of OxfordOxford OX2 6GG
Prizes, awards, and scholarships

2019: Leah Edelstein-Keshet Prize (Senior Award), Society for Mathematical Biology

2020: Fellow of the Society for Mathematical Biology

Major / recent publications
  1. MO Bernabeu, J Kory, JA Grogan, B Markelc, A Beardo, M d’Avezac, R Enjalbert, J Kaeppler, N Daly, J Hetherington, T Krueger, PK Maini, JM Pitt-Francis, RJ Muschel, T Alarcon and HM Byrne (2020). Abnormal morphology biases haematocrit distribution in tumour vasculature and contributes to heterogeneity in tissue oxygenation. PNAS 117 (45) 27811-27819.
  2. A Osojnik, EA Gaffney, M Davies, JWT Yates, HM Byrne (2020). Identifying and characterising the impact of excitability in a mathematical model of tumour-immune interactions. J Theor Biol 501: 110250
  3. TD Lewin, PK Maini, EG Moros, H Enderling and HM Byrne (2019). A three-phase model to investigate the effects of dead material on the growth of avascular tumours. Mathematical Modelling of Natural Phenomena 15: 22.
  4. HZ Ford, HM Byrne and MR Myerscough (2019). A lipid-structured model for macrophage populations in atherosclerotic plaques. J Theor Biol 479: 48-63.
  5. MJ Chen, LS Kimpton, JP Whiteley, M Castilho, J Malda, CP Please, SL Waters and HM Byrne (2018). Multiscale modelling and homogenisation of fibre-reinforced hydrogels for tissue engineering. European Journal of Applied Mathematics, 1-29. (doi:10.1017/S0956792518000657).
  6. JA Grogan, AJ Connor, JM Pitt-Frances, PK Maini and HM Byrne (2018). The importance of geometry in the corneal micropocket angiogenesis assay. PLoS Comp Biol 14(3): e1006049.

  7. S Pillay, HM Byrne and PK Maini (2018). The impact of volume exclusion processes on angiogenesis models. J Math Biol. 77(6-7): 1721-1759.

  8. B Lambert, AL MacLean, AG Fletcher, AN Combes, MH Little, HM Byrne (2018). Bayesian inference of agent-based models: a tool for studying kidney branching morphogenesis. J Math Biol 76(7): 1673-1697.

  9. SK Kay, HA Harrington, S Shepherd, K Brennan, T Dale, JM Osborne, DJ Gavaghan, HM Byrne (2017). The role of the Hes1 crosstalk hub in Notch-Wnt interactions of the intestinal crypt. PLoS Comp Biol. 13(2): e1005400.

  10. AL MacLean, Z Rosen, HM Byrne, HA Harrington (2015). Parameter-free methods distinguish Wnt pathway models and guide design of experiments. PNAS, 10.1073/pnas.1416655112
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