I work in the Wolfson Centre for Mathematical Biology on the modelling of tumour-immune interactions, specifically focussing on spatial models of macrophage infiltration. Macrophages are a type of immune cell which ordinarily attack invaders like bacteria when you're injured. But in cancer, macrophages are tricked by the tumour into pumping out growth factors which help blood vessels grow and bring oxygen to the tumour rather than attacking it. I aim to use mathematical modelling to understand the mechanisms through which tumours prevent macrophages from attacking them, and to propose circumstances where drugs targeting these mechanisms will be most effective.

During my DPhil I have also developed image analysis techniques to enable the quanitifcation of immune cell infiltration in histological images. I am particularly interested in developing this into software to enable pathologists who are unfamiliar with coding and computational techniques to quickly and accurately analyse their images.

Other stuff

Superpixels: When dealing with large histology images, I use superpixels as a way of reducing image size and complexity. This basically involves merging nearby pixels into blobs according to their colour while trying to leave the picture looking as close to how it did before as possible. Don't be deceived, the picture of me on this page isn't just a bit blurry - I couldn't resist running it through the superpixellation algorithm which I use! You can find some more examples of superpixels applied to some of my photography on this really, really high tech web page.

Statistics tools: I've written some basic python scripts to generate example datasets for applying simple statistical tests. These are designed to generate test datasets for students on the Statistics for Biochemistry course. You can find them here.