Bridging statistical physics, complex systems, and computation, I hold a background in Math & Physics for Quantum Engineering from Politecnico di Milano. My thesis work leverages Graph Neural Networks (GNNs) on the MICrONS cortical connectome to uncover structural principles in biological network topology. In parallel, I build autonomous multi-agent systems designed to auto-orchestrate, evaluate, and stress-test production pipelines.My focus is converging these frontiers: translating biological connectome principles into energy-efficient, neuromorphic architectures and resilient agentic Ai.