I am a final year DPhil student, supervised by Arnaud Doucet and George Deligiannidis. Before arriving in Oxford, I obtained a Bachelor’s degree in Physics at the University of Pavia (Italy) and a Master’s degree in theoretical Physics at the École Normale Supérieure in Paris.

My current research lies in statistical learning theory and its applications to modern deep learning algorithms. More precisely, I have been working mostly on generalisation bounds in the PAC-Bayesian and information-theoretic frameworks, and on the Gaussian behaviour of neural networks in the limit of infinite width. I am particularly interested in topics at the intersection between probability, information theory, and large deviations theory, such as transport-entropy inequalities and concentration inequalities, and their connections with the generalisation problem in learning theory.