Luca Dall'Asta

Luca Dall'Asta is an Associate Professor at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. His academic career spans multiple research projects and teaching roles within the Physics of Complex Systems program.

His educational background, while not explicitly detailed in the provided information, is evident through his expertise in theoretical physics and complex systems. His research interests include combinatorial optimization, complex networks, epidemic inference, game theory, machine learning, physics of complex systems, self-organization, statistical inference for stochastic processes, statistical physics, stochasticity in biological processes, and systems biology.

Dall'Asta's recent publications demonstrate a strong focus on statistical physics applications to biological systems, epidemic modeling, and network theory. His work frequently employs Bayesian inference methods, cavity equations, and dynamic modeling approaches. The research shows increasing sophistication in handling complex biological data and epidemic dynamics.

Awards and Recognitions

• FIRB-Futuro in Ricerca (2010)
• National Scientific Qualification - Second Band (2012)
• National Scientific Qualification - First Band - Competition Sector 02/A2 (2016)
• Italian Society of Statistical Physics membership (2021-2025)

Dall'Asta has supervised multiple PhD students including Federico Florio, Damiano Andreghetti, Mattia Tarabolo, Elisa Floris, and Fabio Mazza. His research projects include SIMBAD (2023-2027), SIBYL (2015-2017), and STATISTICAL PHYSICS METHODS FOR STRATEGIC OPTIMIZATION IN SOCIO-ECONOMIC NETWORKS (2012-2015). He has been actively involved in teaching courses such as Field Theory and Critical Phenomena and Optimal Control and Game Theory for the Physics of Complex Systems program, as well as Physics I for Aerospace and Automotive Engineering programs.

He is part of the Statistical Physics and Interdisciplinary Applications research group within the Institute of Condensed Matter Physics and Complex Systems (DISAT), where he contributes to advancing the understanding of complex systems through statistical physics approaches.