I am a PhD student in the Department of Statistics, working on uncertainty quantification and Gaussian process emulation of climate models.
In an ongoing collaboration with the British Antarctic Survey, I am using and developing mathematical and statistical methodology to understand how the Greenland Ice Sheet responded to the warm climate of the Last Interglacial. In parallel, I carry out a project with my supervisors from the School of Earth and Environment, assessing the role held by orbital variability in data-model comparison.
Before my PhD, I studied Mathematics in Pisa, producing a dissertation with theoretical investigation of bounded stochastic processes generated via stochastic differential equations, and their applications to pharmacokinetic modelling.
- Gaussian Process Emulation
- Uncertainty Quantification
- Applications to climate, particularly future sea-level rise
- Stochastic Differential Equations
- BSc and MSc in Mathematics, University of Pisa, Italy (2014)
- Erasmus at RWTH, Aachen University, Germany (2013)