Fiona Spuler

Research Student-PhD (Walker Institute), School of Mathematics, Physical and Computational Sciences

Fiona is a PhD student at the Department of Meteorology, working with Prof Marlene Kretschmer and Prof Ted Shepherd on improving seasonal forecasts using causal models of atmospheric teleconnections. Prior to starting her PhD, Fiona worked for two years at a not-for-profit organisation on the alignment of the European financial sectors with climate mitigation goals. Last year, she was part of an international fellowship programme by the German foreign ministry working on finance for resilience and loss and damage. Fiona co-developed an open-source python package for the comparison and evaluation of statistical bias adjustment methods of climate models, as part of the ECMWF Summer of Weather Code 2022 and holds a degree in Physics (MSc, University of Edinburgh) as well as Environmental Change and Management (MSc, University of Oxford).

- Tutor on 'Experiencing the Weather' field trip for MSc Meteorology students
- Guest Lecture in 'Introduction to Machine Learning and AI' MSc course on applications of ML methods to climate science