Lead Researcher (Machine Learning) - Co-Founder
Professor Paul Fergus is a Professor in Machine Learning. Professor 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). Professor 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.