Rebecca Crossley
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Crossley, R.M., Maini, P.K., Lorenzi, T. and Baker, R.E., 2023. Travelling waves in a coarse-grained model of volume-filling cell invasion: Simulations and comparisons. arXiv preprint arXiv:2302.11345.
Hi everyone, my name is Becky and I am currently a second year DPhil Mathematics student in the Wolfson Centre for Mathematical Biology. Prior to joining the group here in Oxford I studied for my undergraduate degree at the University of Bristol, where I worked as a research assistant in the field of chemical reaction dynamics (the CHAMPS team). My research now involves multiscale modelling of cell migration into extracellular matrix, from agent-based models to reaction-diffusion equations at the population-level.
Feel free to reach out to me in person or via email!
University of Oxford Mathematical Institute EPSRC Scholarship - 2021
Oxford-Wolfson-Marriott Graduate Scholarship - 2021
I have enjoyed teaching undergraduate students for over 5 years now, starting back during my time at University of Bristol. Since arriving at Oxford I have been fortunate enough to teach both in department and in a number of colleges, as both a graduate tutor and college lecturer.
Details of the courses I have taught at Oxford each year are below:
2022/23:
- Prelims Probability A (St Hugh's College)
- Prelims Multivariable Calculus (St Hugh's College)
- Prelims Fourier Series and Partial Differential Equations (St Hugh's College)
- Part A Mathematical Modelling in Biology (St Hugh's College)
- Part A Calculus of Variations (St Hugh's College)
2021/22:
- Part A Differential Equations 1 (Merton College)
- Part B Applied Partial Differential Equations (Mathematical Institute)
- Part A Differential Equations 2 (Merton College)
- Part A Mathematical Modelling in Biology (Exeter College, St Hugh's College)
- Part C Statistical Mechanics (Mathematical Institute)
Previous experience teaching Mathematical Biology, Quantum Mechanics, Time Series Analysis, Statistical Mechanics and Financial Mathematics courses elsewhere.