Joshua Moore
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Modelling polarity-driven laminar patterns in bilayer tissues with mixed signalling mechanisms. JW Moore, TC Dale, TE Woolley. SIAM Journal of Applied Dynamical Systems. (2023) - Accepted. https://doi.org/10.48550/arXiv.2209.06753
Improving the Accuracy of Biologically Effective Dose Estimates, from a Previously Published Study, After Radiosurgery for Acoustic Neuromas. JW Hopewell, JW Moore, CJ Villafuerte, I Paddick, B Jones, MA Hill, DS Tsang. World Neurosurgery (2023) https://doi.org/10.1016/j.wneu.2022.12.119
Polarity-driven laminar pattern formation by lateral-inhibition in 2D and 3D bilayer geometries. JW Moore, TC Dale, TE Woolley. IMA Journal of Applied Mathematics (2022) https://doi.org/10.1093/imamat/hxac011
A General Computational Framework for COVID-19 Modelling with Applications to Testing Varied Interventions in Education Environments. JW Moore, Z Lau, K Kaouri, TC Dale, TE Woolley. COVID (2021) https://doi.org/10.3390/covid1040055
Further development of spinal cord retreatment dose estimation: including radiotherapy with protons and light ions. JW Moore, TE Woolley, JW Hopewell, B Jones. International Journal of Radiation Biology (2021) https://doi.org/10.1080/09553002.2021.1981554
I am primarily interested in unravelling the information contained in the spatial properties of cellular biology to explore questions in cancer detection, optimal treatment planning and cellular self-organisation. Developing and combining methods from spatial statistics and agent-based modelling, I seek to identify spatial biomarkers which are predictive of disease treatment sensitivity for guiding diagnosis and treatment planning.
In addition, I study how the structure of the tissue influences intracellular behaviour and intercellular communication, and the factors imposing robust signalling patterns in dynamic tissue morphologies. To analyse such behaviour, I consider graph and control theoretic concepts coupled to nonlinear systems to understand the bifurcation and stability landscape of signal expression.
IMA Lighthill-Thwaites finalist (2021).
First place in NERC COVID-19 Hackathon: Recovery (2020).
Knowledge Economy Skills Scholarship for Doctoral Studies (2019).
CUROP undergraduate research scholarship (2019).