Francesco Spinnato earned his Bachelor's degree in Economics and Management from the University of Padua in 2017 and his Master's degree in Data Science from the University of Pisa in 2020. He obtained his Ph.D. in Data Science from the Scuola Normale Superiore in 2024.
He is currently an assistant professor (RTD-A) at the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. His research focuses on explainable AI (XAI) applied to sequential data, particularly on interpreting black-box models for univariate and multivariate time series.
Dr. Spinnato received the 2023–2024 Socint G-Research Italian National Prize for his Ph.D. thesis, “Explanation Methods for Sequential Data Models.”
