Lead Researcher (Machine Learning)
Dr Paul Fergus is a Reader (Associate Professor) in Machine Learning. Dr Fergus’s main research interests include machine learning for detecting and predicting preterm births. He is also interested in the detection of foetal hypoxia, electroencephalogram seizure classiﬁcation and bioinformatics (polygenetic obesity, Type II diabetes and multiple sclerosis). Dr Fergus has a keen interest in conservation and is currently looking at the use of machine learning to solve different conservation-related problems. He has competitively won external grants to support his research from HEFCE, Royal Academy of Engineering, Innovate UK, Knowledge Transfer Partnership, North West Regional Innovation Fund and Bupa and has published over 200 peer-reviewed papers in these areas. Before his academic career Dr Fergus was a senior software engineer in industry for six years developing bespoke solutions for a number of large organisations.