I am a Machine Learning Research Scientist at Oxford Nanopore Technologies, where my primary focus is on enhancing the speed, affordability, and accuracy of genetic data analysis. Prior to this role, I completed a DPhil/PhD in computer vision within the Visual Geometry Group at the University of Oxford as part of AIMS CDT, under the guidance of Professor Andrew Zisserman and Dr. Timor Kadir. My research predominantely focused on leveraging modern advances in deep learning to analyse medical images and I maintain collaborative ties with the research group.

I am particularly interested in the application of machine learning to real-world problems in science and healthcare. During my PhD, I developed SpineNet, a source-available tool for analysing spinal MRI scans for a range of common spinal disorders, with comparative accuracy to expert radiologists. This has featured in several large scale studies into back pain and has also been adopted by major pharmaceutical companies to support clinical trials. I am also interested in data-efficient learning and novel forms of supervison, such as learning about radiological images from associated free-text reports . More information is available in my CV here.

Outside of my research, I am into sports, both real (running, touch rugby) and debatably-real (chess).

Applying for a PhD? If you're thinking of applying for a PhD, and you have questions regarding Oxford/AIMS/VGG/Computer Vision research in general, please don't hesitate to get in contact even if you feel like your background isn't suitable (I definitely felt that way when I applied). I'll try to respond as soon as possible although it may take a day or two.

Recent News

Recent Posts

A Shiny New Website (14/04/2020)

A quick post detailing how I made this new website.