Valeria Amato is a Ph.D. candidate in Information Technology at Politecnico di Milano, specializing in System & Control with a focus on energy systems modeling.
She holds a Double Master’s degree in Data Science from Politecnico di Milano and Aalto University, completed with honors. Her research at CMCC Foundation explores energy nexus modeling to improve energy infrastructure realism and decision-making for a sustainable energy transition and climate resilience. Her Master’s thesis, “Forecast-driven bidding strategies in the Finnish day-ahead and capacity reserve electricity markets”, was developed in collaboration with InterGrid Oy, where she worked as a Machine Learning Engineer in Finland.