Mattia Tarabolo

Mattia Tarabolo's picture

Ph.D. candidate in Fisica , 38th cycle (2022-2025)
Department of Applied Science and Technology (DISAT)

Docente esterno e/o collaboratore didattico

Profile

PhD

Tutors

Research interests

Artificial neural networks
Bayesian inference
Bayesian networks
Belief propagation
Complex networks
Complex systems
Epidemic inference
Machine learning
Message passing algorithms
Out-of-equilibrium dynamics
Physics of complex systems
Random matrices
Statistical physics

Biography

I am a PhD student in Complex Systems Physics at Politecnico di Torino, working in the Statistical Physics and Interdisciplinary Applications group under the supervision of Prof. Luca Dall'Asta and Prof. Alfredo Braunstein. My research focuses on developing theoretical approaches to analyze stochastic processes on sparse networks, with applications spanning epidemiology, ecology, and neuroscience. My work in epidemiological modeling involves developing Bayesian inference algorithms to reconstruct disease spread dynamics from incomplete or noisy data. In parallel, I study ecological communities with random interactions, investigating how network structure affects their stability. A third research direction applies statistical physics methods to neural networks, particularly in modeling neuron interactions and collective dynamics in these systems.

Research topics

  • Applications of statistical physics to machine learning algorithms
  • Development of bayesian inference methods through message passing algorithms for epidemiologic inference
  • Study of random matrices through message passing algorithms

Skills

ERC sectors

PE2_18 - Equilibrium and non-equilibrium statistical mechanics: steady states and dynamics
PE2_16 - Non-linear physics
PE3_16 - Physics of biological systems
PE1_13 - Probability
PE3_15 - Statistical physics: phase transitions, condensed matter systems, models of complex systems, interdisciplinary applications
PE3_13 - Structure and dynamics of disordered systems, e.g. soft matter (gels, colloids, liquid crystals), granular matter, liquids, glasses, defects

Research

Other activities and projects related to research


I am a PhD student in Complex Systems Physics at Politecnico di Torino, working in the Statistical Physics and Interdisciplinary Applications group under the supervision of Prof. Luca Dall'Asta and Prof. Alfredo Braunstein. My research focuses on developing theoretical approaches to analyze stochastic processes on sparse networks, with applications spanning epidemiology, ecology, and neuroscience.

My work in epidemiological modeling involves developing Bayesian inference algorithms to reconstruct disease spread dynamics from incomplete or noisy data. In parallel, I study ecological communities with random interactions, investigating how network structure affects their stability. A third research direction applies statistical physics methods to neural networks, particularly in modeling neuron interactions and collective dynamics in these systems.