The study of information in complex systems is increasingly central to understanding modern intelligent behaviour. Brains, AI models, and even large-scale social media platforms all process, transform, and propagate information in ways that shape perception, collective behaviour, and decision-making. By analysing how information is generated, shared, lost, or amplified across these systems, we can identify the principles that constrain their capabilities, expose their failure modes, and guide safer, more transparent design.
My work spans complex systems physics, computational neuroscience, and AI, aiming to uncover general rules that govern intelligent behaviour. During my PhD (and in my earlier master's project), I pursued this research together with collaborators including Giovanni Petri, Thomas Robiglio, Cosimo Agostinelli, Andrea Brovelli, exploring how structural and dynamical mechanisms map onto informational properties across systems as different as brains, machine-learning models, and collective human behaviour.