Giorgia Gossi is a research fellow at the CMCC European Institute on Economics and the Environment (EIEE) and Politecnico di Milano.
Her research focuses on uncertainty characterization in energy system models, with particular interest in data-driven scenario generation, energy price dynamics, and robustness analysis under deep uncertainty. Her current work explores statistical and machine learning approaches to generate realistic future scenarios for energy markets and assess their impact on long-term energy system planning. Giorgia holds a MSc in Data Science from the University of Milano-Bicocca.