Computing for the people

Epidemics, misinformation, financial crisis, climate change, and the quest to understand human and artificial intelligence all share a common thread: complexity emerging from interactions. By better understanding and modeling this complexity, we can increase our chances of successfully addressing the major challenges faced by humanity in this century. The good news is that we now have vast amounts of data on these complex systems, along with increasingly powerful computational tools to analyze them. What is still missing, and what makes this field so exciting, is that we are only in the early stages of building theories capable of comprehensively explaining such data. I am committed in contributing to this effort with my research, focusing on the concept of information and its role in complex systems, with a particular interest in human consciousness and intelligence, and AI safety.

About me

I am a mathematician and complex systems physicist pursuing a PhD at the intersection of Complex Systems Physics, Computational Neuroscience, and AI. I work at Aix-Marseille University within Brainets, supervised by Prof. Andrea Brovelli, and at Imperial College London, within the Machine Intelligence and Neural Dynamics group, under the supervision of Prof. Pedro Mediano, investigating how intelligence arises in artificial and biological systems. My approach uses information theory and graph theory as unifying frameworks to identify general principles that govern the behavior and capabilities of intelligent systems.

During my PhD, I have focused on foundational questions in complex systems physics, used mathematics to better understand intelligence, and developed open-source software for the scientific community. Questions and research topics close to my heart include speech, music, and learning in the human brain, information processing in complex systems, didactics, and AI safety.