- π Based in Padua, Italy.
- π§π»βπ» Physics PhD Student, focusing on optimization techniques for resilient complex systems out of equilibrium.
- π Mostly interested in: complex systems, network science, machine and deep learning, statistical physics, numerical simulations, information theory, and computational neuroscience.
- π MSc Physics of Data graduate. Final thesis: "Variational principles for hierarchical and modular architectures in complex networks", investigation of the emergence of hierarchy using information thermodynamics. Supervisor: Prof. Manlio De Domenico.
- π BSc Physics graduate. Final thesis: "Dynamical connectivity and nonlinearity in a whole-brain computational model", analysis of fMRI time series with modern computational neuroscience models and techniques. Supervisor: Prof. Michele Allegra.