Ben Moews

Ben is a Lecturer in Predictive Analytics and joined the Business School from a McWilliams Fellowship in Cosmology at Carnegie Mellon University and the Pittsburgh Supercomputing Center in the United States. Having previously spent time as a Visiting Researcher at the Max Planck Institute for Astrophysics in Germany, Ben served as a Review Panelist for the NASA Science Mission Directorate, the US Department of Energy's Office of Science Graduate Student Research and the UK Research and Innovation Funding Service, and worked in the investment management sector as a Research Engineer for Machine Learning.

Additional memberships include the Centre for Statistics at the School of Mathematics, the Centre for Financial Innovations at the Edinburgh Futures Institute and the Scottish Centre for Crime and Justice Research. Ben holds a PhD in Astrophysics and an MSc in Artificial Intelligence from the University of Edinburgh, as well as an accreditation as a Professional Statistician from the American Statistical Association.

Ben’s research is centred on artificial intelligence and addresses domain challenges using machine learning, statistical inference and high-performance computing. With a strong focus on interdisciplinary collaborations, this covers both impactful applications and the problem-driven development of new methodology. Current research interests include but are not limited to problems in finance and criminology; an up-to-date list of publications can be found on ORCID.

Primary areas for PhD supervisions are listed below, but prospective students are welcome to reach out with other research ideas that broadly align. This extends to research that combines a methodological overlap with applications outside these fields, including in co-supervision with other groups or schools.

• Theory and applications of machine learning
• Financial technology and econometric analysis
• Spatio-temporal statistics for societal challenges
• Deep learning frameworks and synthetic datasets