معرفی
Ben Moews is a Lecturer in Predictive Analytics at the University of Edinburgh Business School. He serves as Director of the Domain-Driven Machine Learning Lab, PhD Programme in Financial Technology, and Chair of the Centre for Data, Culture and Society's Advisory Board.
- PhD in Astrophysics (University of Edinburgh)
- MSc in Artificial Intelligence (University of Edinburgh)
- Professional Statistician (American Statistical Association)
His research bridges artificial intelligence with financial technology and astrophysics, focusing on domain-specific machine learning and privacy-preserving synthetic data. Recent projects include generative modeling for market microstructure, AI-driven cosmological simulations, and geospatial analytics for societal challenges.
Research outputs span Physics-informed neural networks (2024), random number generator analysis in financial markets (2024), and synthetic data evaluation frameworks (2024). His work combines high-performance computing with real-world applications in central banking and public health.
- Fellowship of the Higher Education Academy (2025)
- McWilliams Fellowship (2021)
- Principal’s Career Development Scholarship (2017)
- Professional Statistician accreditation (2023)
- Winton Thesis Prize (2022)
As Director of the Domain-Driven Machine Learning Lab and FinTech PhD Programme, he leads initiatives integrating data science with domain-specific challenges across business, finance, and public policy. He collaborates with the Scottish Centre for Crime and Justice Research and Edinburgh Centre for Financial Innovations.
