Cecilia Panigutti

Cecilia Panigutti is a researcher specializing in the field of Explainable Artificial Intelligence (Explainable AI). She is currently a Data Scientist in the Data Science Unit of the Directorate‑General for Communications Networks, Content and Technology at the European Commission. She holds a PhD in Data Science from the Scuola Normale Superiore di Pisa. Her research focuses on the development of explainable machine learning techniques and their application to healthcare systems. She has an academic background that includes a Master’s degree in Physics of Complex Systems from the University of Turin and professional experience as a Junior Data Scientist at the technology consultancy firm aizoOon. Her work and research have been published in leading conferences and journals. She has also contributed to book chapters and policy analysis on the standardization of artificial intelligence.

• 2025–Present·Directorate‑General for Communications Networks, Content and Technology, European Commission·Data Scientist - Case Handler
  • Worked on data science projects, focusing on algorithmic transparency and regulatory challenges in AI applications.
• 2022–2025·Directorate‑General for Communications Networks, Content and Technology, European Commission·Scientific Officer
  • Conducted research in the field of algorithmic transparency and facilitated AI standardization efforts.
• 2017–2022·Scuola Normale Superiore di Pisa·PhD Researcher
  • Specialized in the development of explainable AI techniques and their applications in the healthcare domain.

• 2017–2022·Scuola Normale Superiore di Pisa·PhD (Data Science)
  • Research focus on explainable machine learning techniques and their applications in healthcare systems.
• 2016·University of Turin·Master’s Degree (Physics of Complex Systems)
  • Master’s thesis focused on the application of machine learning for predictive maintenance.
• 2013·University of Turin·Bachelor’s Degree (Physics)