Paolo Bonetti is a postdoctoral researcher in machine learning and reinforcement learning control for climate science, focusing on interpretable and causal methods. He earned a PhD in Information Technology from Politecnico di Milano, developing interpretable and causal approaches for meaningful variable extraction and applying them to extreme drought events. His main research goal is to bridge AI methodological innovation with real-world needs, impact, and constraints.