Ph.D. candidate in Fisica , 38th cycle (2022-2025)
Department of Applied Science and Technology (DISAT)
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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 neural networks
- Development of bayesian inference methods through message passing algorithms for epidemiologic inference
- Study of ecosystems through statistical physics methods
- Study of stochastic dynamics on sparse networks through statistical physics methods
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Most cited publications View all publications in Porto@Iris
- Braunstein, Alfredo; Catania, Giovanni; Dall'Asta, Luca; Mariani, Matteo; Mazza, Fabio; ... (2025)
Small-coupling dynamic cavity: A Bayesian mean-field framework for epidemic inference. In: PHYSICAL REVIEW RESEARCH, vol. 7, pp. 1-25. ISSN 2643-1564
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