معرفی
Professor Jeremy Oakley is the Head of School and Professor of Statistics at the School of Mathematical and Physical Sciences, University of Sheffield. He holds a BSc in Mathematics and Statistics from the University of Nottingham (1996) and a PhD in Statistics from the University of Sheffield (2000). His research focuses on Bayesian statistics, including uncertainty quantification for computer models, prior elicitation, and Bayesian methods in health economics. He has contributed to the development of the Sheffield Elicitation Framework (SHELF), a widely used tool for expert elicitation. His work spans applications in health economics, medical modeling, and engineering design.
- Education:
- BSc (Mathematics & Statistics), University of Nottingham, 1996
- PhD (Statistics), University of Sheffield, 2000
Research interests include Bayesian methodology, uncertainty quantification, and expert elicitation. His publications address topics like cardiac electrophysiology modeling, clinical trial design, and probabilistic calibration of complex models. He has secured grants from EPSRC and MRC, focusing on managing uncertainty in models and improving healthcare decision-making. Oakley teaches statistics modules and supervises PhD students, contributing to interdisciplinary research collaborations.
Recent articles highlight advancements in Bayesian calibration, expert elicitation frameworks, and applications in medical and engineering contexts. His work emphasizes bridging statistical theory with practical challenges in health economics and computational modeling.
