I am a  researcher in statistical mechanics and AI. I design, develop and evaluate systems that leverage tools from statistical mechanics to solve optimization problems and to enhance interpretability in AI. 

During my Ph.D. (2013-2017) under the supervision of Erik Aurell at KTH and Nordita, I investigated transport processes in non-equilibrium systems, with a particular focus on the role of thermal noise. My current research centers on artificial intelligence, where I use tools from statistical mechanics to understand learning dynamics, inference, and generalization. 

Beyond transport and non-equilibrium phenomena, my interests span statistical mechanics, graph theory, machine learning, and neuroscience. 

I have trained and collaborated widely: with Scott Kirkpatrick at The Hebrew University of Jerusalem (2017-2019) on stochastic optimization, computational complexity, and graph theory; during a postdoctoral fellowship at EPFL (2019-2021) with Nicolas Macris on high-dimensional statistics and modern inference methods; and in Rome at La Sapienza (2021-2023) with Giorgio Parisi and Federico Ricci-Tersenghi on statistical mechanics and algorithmic development. 

I am currently an Assistant Professor (2023--) at the Department of Physics  and Astronomy of the Florence University.