I mostly work on Bayesian inference for likelihood-free models, exploiting deep learning tools and generalized Bayesian inference. More recently, I have become interested in probabilistic forecasting, for which I have developed methods based on generative neural networks. Most of my work is in collaboration with Prof. Ritabrata Dutta (Uni. Warwick). Prior to my PhD studies, I obtained a Bachelor degree in Physical Engineering from Politecnico di Torino (Italy). Afterwards, I studied towards an MSc in Physics of Complex Systems awarded by Politecnico di Torino and Université Paris-Sud, France. I have carried out my MSc thesis at LightOn, a machine learning startup in Paris.

Bayesian inference, generative neural networks, probabilistic forecasting.