Carlos Rodríguez-Pardo is a postdoctoral researcher at Politecnico di Milano and an affiliated scientist at EIEE and CMCC. His research focuses on deep learning for climate change mitigation, applying generative and foundation models to climate and socioeconomic predictions. Part of the EUNICE ERC project, he explores machine learning for decision-making under uncertainty. He holds an award-winning PhD in Computer Science.