cv

General Information

Full Name Francesco Spinnato
Email francesco.spinnato@di.unipi.it
Position Research Fellow at the University of Pisa
Location Largo Bruno Pontecorvo, 3, Pisa, Italy

Experience

  • 2024 - present
    Research Fellow
    University of Pisa, Pisa, Italy
    • Explainable Artificial Intelligence for sequential data: design and analysis of XAI tools for tasks such as classification, regression, and forecasting of time series.
  • 2021 - present
    Research Associate
    KDDLab, ISTI-CNR, Pisa, Italy
    • Developing interpretable AI methods for sequential data.
  • 2020
    Research Scholarship
    University of Pisa, Pisa, Italy
    • Research on explanation methods for time series classification.

Education

  • 2020 - 2024
    PhD in Data Science
    Scuola Normale Superiore, Pisa, Italy
    • Explanation Methods for Sequential Data Models
  • 2017 - 2020
    Master's in Data Science and Business Informatics
    University of Pisa, Pisa, Italy
    • A Model Agnostic Local Explainer for Time Series Black-Box Classifiers
  • 2007 - 2010
    Bachelor's in Economics and Management
    University of Padova, Padova, Italy
    • Stima indiretta del PIL mensile italiano: procedure statistiche e primi risultati

Periods Abroad

  • 2023 - 2024
    Visiting Ph.D. Student
    Courant Institute of Mathematics, NYU, New York, USA
    • Developing XAI approaches for sequential data at Visualization Imaging and Data Analysis Center (VIDA).

Teaching

  • 2025
    Teaching Assistant
    Master in Big Data Analytics and Artificial Intelligence for Society, University of Pisa
    • Data Mining and Machine Learning.
  • 2024
    Teaching Assistant
    Master in Big Data Analytics and Artificial Intelligence for Society, University of Pisa
    • Data Mining and Machine Learning.
  • 2023
    Teaching Assistant
    Data Science and Business Informatics, University of Pisa
    • Data Mining 2: Advanced Topics and Applications.
  • 2022
    Teaching Assistant
    Data Science and Business Informatics, University of Pisa
    • Data Mining 1: Fundamentals.
  • 2021
    Teaching Assistant
    Data Science and Business Informatics, University of Pisa
    • Laboratory for Data Science.

Honors and Awards

  • 2024
    Socint G-Research National Prize
    Senato della Repubblica, Rome, Italy
    • Best PhD thesis in quantitative subjects: Explanation Methods for Sequential Data Models