My research spans both the theory and applications of neural networks and other pattern recognition techniques, with a special focus on data visualisation and probabilistic modelling. Much of my work is inspired, directly or indirectly, by industrial problems in bioinformatics, biosignal processing, condition monitoring, remote sensing and financial forecasting. I have put my experience of software engineering to good use through developing the Netlab toolbox for neural networks and related pattern analysis techniques: this has now been downloaded more than 48,000 times and the accompanying book has 1300 citations. At Bristol, I am a member of the Intelligent Systems Lab.

Between October 2000 and June 2002 I was the Director of the Cardionetics Institute of Bioinformatics, which researched methods for extracting clinically valuable information from electrocardiogram (ECG) data.  The current focus of my research is in data visualisation (representing high-dimensional data faithfully in 2D so that users can analyse its structure visually) and time series analysis and characterisation (with applications in biomedical signal processing and condition monitoring of complex machinery).