I'm a research student in the School of Computing Science at the University of Glasgow, working with Dr Simon Rogers. Broadly speaking, I'm interested in using machine learning techniques to analyse and reason about complex, high dimensional datasets. In particular, I'm currently focused on performing real time inference on data from capacitive sensors - basically taking a probabilistic approach to touch screen interfaces in order to improve the quality of interaction. In the longer term I want to extend this to incorporate analysis of the data from the wide variety of sensors present in modern mobile devices, with a view to allowing a device to reason about the context in which it is being used, and adjust its behaviour accordingly.
I'm a member of the Inference, Dynamics and Interaction Group within the School, and I'm the grateful recipient of a SICSA prize studentship.
If you're here looking for my machine learning teaching aid software, here it is in JAR format. Assuming you have a vaguely current Java installation, you should be able to run this by double clicking it. Those using *nix may have to do "java -jar teachingaidfinal.jar" at the command line to get it started. If you have any questions about it, feel free to email me and I'll help as best I can.