July 28, 2025: Successfully defended my PhD thesis with grade Summa cum laude!
July 11, 2025: Our paper 'An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items' has been accepted at ECAI 2025.
May 22, 2025: Accepted to the ELLIS Summer School 2025 on Trustworthy AI.
April 11, 2025: Our paper 'Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level' has been accepted at ACM FAccT 2025.
March 30, 2025: Our paper 'Differentially Private FastSHAP for Federated Learning Model Explainability' has been accepted at IJCNN 2025.
September 21, 2024: My talk proposal has been accepted at Pycon IT 2025, see you in Bologna!
Research Experience
No specific work experience or research projects mentioned.
Education
Ph.D. in Computer Science from the University of Pisa.
Background
Ph.D. in Computer Science, focused on Privacy, Fairness, and Explainability in Federated Learning. Currently looking for new opportunities (postdoc or research scientist roles) in Responsible AI.