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Mattia Tarabolo

Ph.D. in Fisica , 38th cycle (2022-2025)

Ph.D. obtained in 2026

Dissertation:

Cavity-Based Approaches to Stochastic Dynamics on Sparse Graphs: From Ecological Systems to Epidemiological Inference (Abstract)

Tutors:

Luca Dall'Asta Alfredo Braunstein

Profile

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

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.

Publications

Last years publications

Publications by type

Works published during the Ph.D. View all publications in Porto@Iris