Davide Carbone

PhD Student in Matematica Pura E Applicata , 36th cycle (2020-2023)
Department of Mathematical Sciences (DISMA)



Research topic

Neural Networks as Interacting Particle Systems


Research interests

Mathematical Physics


From the very beginning of my student career I regard Mathematics and Physics as disciplines closely related to the concept of analogy. During my entire course I was fascinated in finding connections between very different topics. This belief led me to choose the bachelor's Degree in Physics at University of Turin. I graduated in 2018 with a thesis on Palatini-f(R) gravitational models (advisor: prof. L. Fatibene). Subsequently, I chose the master’s degree in Physics of Complex Systems at University of Turin, that guaranteed the opportunity to maximally enlarge my theoretical knowledge. I graduated in 2020 with a thesis on generalized T-Symmetry and Onsager relations (advisor: prof. L. Rondoni). I currently work on theoretical Machine Learning seen from the point of view of Statistical Mechanics as a system of interacting particles. As a side note, a graduated in Piano at Conservatory of Turin in 2019.



Bachelor of Science

MostraNascondi A.A. passati


Research groups


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