I am currently pursuing a PhD at the Oxford-Imperial CDT in Mathematics of Random Systems, under the guidance of Dr. Cristopher Salvi at Imperial College London. I completed my undergraduate studies at Università di Pisa in 2022, with my thesis conducted at ETH Zürich under the supervision of Professor Josef Teichmann.

My research interests are centered around time series analysis within the fields of Machine Learning and Mathematical Finance. I approach these areas through Rough Paths Theory, as well as Functional and Stochastic Analysis.

Currently, my work is focused on exploring the scaling laws that govern the behavior of randomly initialized Neural Networks, both pre-training and during training.
I am particularly interested in Neural Controlled Differential Equations and State Space Models.