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Fiona Turner is a statistician focused on uncertainty quantification in climate systems. She holds a BSc in Mathematics from the University of Bristol and an MSc in Statistics from the University of Sheffield. Fiona completed her PhD in Statistics at the University of Sheffield, where her thesis was titled 'Ice Cores Emulation: Learning Past Ice Sheet Shapes'. Her research interests include Gaussian process emulators, uncertainty quantification, ice sheets, and land ice contributions to sea level rise. Currently, she is a Research Associate at King’s College London, working on the PROTECT project, which is a Horizon 2020 funded initiative that aims to project land ice contributions to sea level rise through the year 2500. In her role, she is building emulators for climate and ice sheet models to better understand and predict sea level contributions from the world’s ice sheets and glaciers. Fiona also participates in public engagement activities, sharing research insights at events like the Pint of Science festival.
King's College London • London
Working on the PROTECT project, focusing on projections of land ice contributions to sea level rise.
Requirements are consistent across King's Business School and Social Science & Public Policy departments for standard Master's entries.