Professor Christophe Mues
Professor of Data Science and Information Systems
Professor Christophe Mues is Professor of Data Science and Information Systems, specialising in credit scoring and other applications of analytics in consumer lending.
Having joined the School in September 2004, I have taught a variety of subjects relating to information systems and business analytics. A unifying theme in my research and collaborations with industry is to identify current challenges in credit risk modelling or other related areas and develop novel solutions to tackle them, for example using machine learning techniques.
I am happy to discuss opportunities for research collaboration that fit these interests: just drop me an email to start the conversation. I am also welcoming PhD applications in these areas, provided the applicant has a strong quantitative background (e.g. statistics — regardless of the application domain! —, quantitative risk modelling, applied mathematics, or data science and machine/deep learning), coupled with a keen interest in applying those skills to business analytics problems.