معرفی
Andrew B. Duncan is a Senior Lecturer in Statistics and Data-Centric Engineering at Imperial College London's Department of Mathematics, part of the Faculty of Natural Sciences. He also leads the Data Centric Engineering Programme at the Alan Turing Institute. His research integrates applied probability, computational statistics, and machine learning to solve industrial challenges in areas like cellular biology, aerospace, and energy systems. He holds a PhD from the University of Warwick and previously lectured at the University of Sussex.
Education:
- PhD in Mathematics, University of Warwick (2013), supervised by Andrew Stuart and Charlie Elliott
- Postdoctoral research at Imperial College London and the University of Oxford
Research Interests: Focuses on developing statistical methodologies for complex engineering systems, including predictive health monitoring, computational statistics, and interdisciplinary applications. Key areas include uncertainty quantification, Bayesian inference, and energy-based models.
Advising & Grants: Supervised multiple PhD students and postdocs, many now in academic and industry roles. Active in securing funding for projects on sensor optimization, digital twins, and data-centric engineering.
Labs/Teams: Leads the Data Centric Engineering group at the Alan Turing Institute and collaborates with the Statistics section at Imperial College. His work bridges academia and industry, emphasizing practical applications of statistical methods.
