Hello!

I’m a Postdoctoral Researcher at University of Aarhus 🇩🇰 in the field of Computer Science.

My research has appeared in venues like IJCAI, CIKM, and Springer Machine Learning, and I’ve been lucky to organize workshops, teach, and collaborate with amazing researchers during my Ph.D. at University of L’Aquila. 🇮🇹

Research Interests

My research is at the intersection of privacy, safety, and machine learning. I work on Machine Unlearning: making AI systems selectively forget specific data after training, without retraining from scratch. This is essential for regulatory compliance (e.g. GDPR’s right to be forgotten), correcting model misbehavior, and building AI that is trustworthy and accountable. Check out ERASURE: an open-source, extendible framework that makes unlearning practical and reproducible.

🌟 Selected Highlights (among other things)

YearAchievement
2026🏅 Won a Postdoc position at University of Aarhus
2026🎓 Defended my Ph.D.!
2025📚 Proceedings Chair for WSDM 2026
2025📘 Published at Springer’s Machine Learning Journal
2025👥 Hosted WIPE-OUT, a Workshop on Machine Unlearning at ECML-PKDD 2025
2025📘 Published at IJCAI 2025 Demo, CIKM 2025
2025🌍 Visiting Ph.D. — University of Aarhus, Denmark
2024🌍 Held an invited talk on Machine Unlearning at Technical University of Munich
2024📚 Proceedings Chair for CIKM 2024

Selected Publications

A ERASURE: a Modular and Extensible Framework for Machine Unlearning
Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) · 2025
Q1 The Forget-set Identification Problem
Machine Learning Journal (Springer) · 2025
A* How to Make Reproducible Research in Machine Unlearning with ERASURE
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2025) · 2025

View all publications →

Projects

WIPE-OUT
WIPE-OUT 2 — Workshop on Machine Unlearning and Privacy Preservation, To be held at ECML-PKDD 2026. View Website →
ERASURE
ERASURE — Extendible Machine Unlearning Framework
An open-source framework for Machine Unlearning research. View on GitHub →