Research
Trained as a physicist, my research can be placed within the landscape of Complex Systems, where I delve into phenomena that exhibit emergent properties beyond the sum of their parts. My current focus is on Large Language Models (LLMs) and their emergent collective behaviors. I study group phenomena in LLM populated societies and I exploit these Generative AI models to perform Agent Based Simulations. An importat part of my research is represented by power laws and scaling laws, as for instance Heaps’ and Zipf’s laws, which are often considered the footprint of Complexity. I’m also interested in Economic Complexity, where my approach is based on network theory and machine learning, with a particular emphasis on analyzing the Job Market through online job advertisement platforms data. Neural Networks are another area of active research, specifically the Hopfield Model, one of the most known artificial recurrent neural network. Finally, my investigation extends into Recommendation Algorithms, focusing on their impact on online communities and on the emergence of opinion polarization.
