Hello!

Iโ€™m a Postdoctoral Researcher at University of Aarhus ๐Ÿ‡ฉ๐Ÿ‡ฐ in the field of Computer Science.

My research has appeared in venues like IJCAI, CIKM, and Springer Machine Learning, and Iโ€™ve been lucky to organize workshops, teach, and collaborate with amazing researchers during my Ph.D. at University of Lโ€™Aquila. ๐Ÿ‡ฎ๐Ÿ‡น

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. GDPRโ€™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.

๐ŸŒŸ Selected Highlights (among other things)

YearAchievement
2026๐Ÿ… Won a Postdoc position at University of Aarhus
2026๐ŸŽ“ Defended my Ph.D.!
2025๐Ÿ“š Proceedings Chair for WSDM 2026
2025๐Ÿ“˜ Published at Springerโ€™s Machine Learning Journal
2025๐Ÿ‘ฅ Hosted WIPE-OUT, a Workshop on Machine Unlearning at ECML-PKDD 2025
2025๐Ÿ“˜ Published at IJCAI 2025 Demo, CIKM 2025
2025๐ŸŒ Visiting Ph.D. โ€” University of Aarhus, Denmark
2024๐ŸŒ Held an invited talk on Machine Unlearning at Technical University of Munich
2024๐Ÿ“š 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 โ†’

Projects

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