I am an applied mathematician, with lecturing and wet-lab experimental biology experience, exploring the interface of mathematics and biology.
I am currently a Queensland University of Technology Postdoctoral Research Fellow in Mathematical Biology in the group of Professor Matthew Simpson (QUT), collaborating with Professor Nikolas Haass (The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane).
In early 2022, I completed my PhD at the Queensland University of Technology, Brisbane, Australia. My thesis is entitled Mechanochemical and experimental models in mathematical biology, under the supervision of Professor Matthew Simpson (QUT) and Dr Pascal Buenzli (QUT), in collaboration with Professor Ruth Baker (University of Oxford). My thesis received a Faculty of Science Executive Dean’s Commendation for Outstanding Doctoral Thesis for 2022. During my studies I have worked with the experimental group of Professor Rik Thompson (QUT, Translational Research Institute, Brisbane), and performed wet-lab biological experiments in the group of Professor Nikolas Haass (The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane). Prior to moving to Australia, I completed my bachelor degree and masters degree in Mathematics at the University of Oxford, England, and worked for three years as a data analytics consultant at Deloitte UK, based in Manchester, England.
My research interests are at the interface of mathematical theory and biological experiments. I focus on developing intuitive mathematical models that provide biological insights. Current topics of interest include: mechanical cellular relaxation, cell proliferation, cell death, mechanical cell competition, mechanochemical feedback loops, epithelial-mesenchymal transitions (EMT), the cell cycle, and avascular tumour growth. To study these biological processes I employ a range of mathematical techniques, specialising in: discrete models – taking the form of systems of ordinary differential equations; stochastic models; continuum models – taking the form of system of nonlinear partial differential equations; discrete to continuum limits; travelling waves; perturbation analysis; moving boundary problems derived from biologically motivated cell-level processes; tumour growth models; uncertainty analysis; and parameter estimation. Please see my publications for more details.
Timeline
2021 – 2023: Postdoctoral Research Fellow, Queensland University of Technology, Brisbane, Australia
2018 – 2021: Mathematical Biology PhD Student, Queensland University of Technology, Brisbane, Australia.
2015 – 2018: Data analytics consultant, Deloitte UK, Manchester, England.
2011 – 2015: Mathematics, University of Oxford, England.
Contact
Twitter: ryanmurphy42
Email: ryanmurphyresearch@gmail.com