Leonardo Di Bari

Ph.D. candidate in Fisica , 39th cycle (2023-2026)
Department of Applied Science and Technology (DISAT)

Docente esterno e/o collaboratore didattico
Ateneo (ATENEO)



Research topic

Statistical-physics inspired learning of the protein sequence universe


Research interests

Fisica dei Sistemi Complessi / Physics of Complex Systems
Meccanica Statistica / Statistical Mechanics
Biofisica Statistica / Statistical Biophysics
Metodi Monte Carlo / Monte Carlo Methods


I am physicist with interests in machine learning, biostatistics and statistical mechanics.
I completed a Master Double degree International path on Physics of Complex Systems of Politecnico di Torino. The International path of the Master Program is based in prestigious sites in Italy and France. For my master internship I modeled the stochastic dynamics of protein evolution (composed of mutations and selection) using approaches
inspired by statistical physics at LCQB in Sorbonne Universitè in Paris.
Now, I undergo a PhD on "Generative interpretable models of the protein Universe". The program is a cotutela with Sorbonne Universitè in Paris. Basically, I develop interpretable machine learning/statistical models to study how proteins evolve in time and interact between each other.