I'm an Associate Professor of Computer Science research in the School of Computer Science, part of the Faculty of Technology. My duties include teaching programming, statistics, computer science, data mining and research methods to undergraduate and postgraduate students. My research interests include the investigation of machine learning techniques for detecting anomalous patterns for knowledge discovery. Anomaly detection can reveal interesting patterns that are on the boundary between noise and useful discoveries. I also perform data analysis of medical and biostatistical information and constructing statistical models for prediction and interpretation. I work with medical professionals in the NHS and with staff in Health Sciences. My other interests include drug repositioning using chemical similarity, drug side-effects, protein on and off targets - again using computational methods such as complex network theory, clustering and inferential statistics.