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Amy Wilson is a lecturer with an industrial mathematics background, specializing in interdisciplinary applied statistics addressing problems in industry and government. Her work includes modeling extremes in energy capacity adequacy studies, uncertainty quantification incorporating Bayesian emulation, and decision-making under uncertainty in legal cases concerning energy policy. She has been recognized for her contributions, winning the Edinburgh Mathematical Society Impact Prize in 2022 for her collaborative work with Chris Dent and Stan Zachary on capacity adequacy studies with the National Grid. Amy previously held postdoctoral positions at the University of Durham and the University of Edinburgh, focusing on statistical modeling of energy systems. She completed her PhD at the University of Edinburgh, which centered on statistical modeling for the evaluation of forensic evidence, particularly dealing with multivariate evidential data related to traces of cocaine on banknotes. Amy is active in academia, looking to take on PhD students and engage in statistical projects, collaborations, and knowledge exchange initiatives. She is also willing to undertake expert witness work and has experience in developing training materials in statistics for the forensic science and legal sectors.
University of Edinburgh • Edinburgh, SC
Department of Marketing