Hello!
I’m a DDSA Postdoctoral Fellow at Aarhus University 🇩🇰, working on Robust Graph Unlearning.
My research focuses on Privacy-Preserving Machine Learning and Machine Unlearning. I have published papers at EMNLP, IJCAI, CIKM, and Springer’s Machine Learning, among others.
My research focuses on Privacy-Preserving Machine Learning and Machine Unlearning. I have published papers at EMNLP, IJCAI, CIKM, and Springer’s Machine Learning, among others.
Selected Highlights
| Year | Achievement |
|---|---|
| 2026 | 📘 Accepted at NeurIPS 2026 |
| 2026 | 📘 Accepted at EMNLP 2026 Findings |
| 2026 | 🏅 Selected as a DAAD AInet Fellow — Postdoc-NeT-AI on Reliable AI |
| 2026 | 🏅 Awarded a DDSA Postdoctoral Fellowship on Robust Graph Unlearning (Danish Data Science Academy) |
| 2026 | 📘 Published in Springer’s Machine Learning Journal, ECML-PKDD 2026 Journal track |
| 2026 | 🏅 Won a Postdoc position at Aarhus University |
| 2026 | 🎓 Defended my Ph.D. cum laude with Doctor Europaeus distinction! |
| 2025 | 📘 Published in 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. — Aarhus University, Denmark |
Projects
Lethe Benchmark for Edge Unlearning in Graph Neural Networks Link inference attacks for evaluating edge unlearning methods. Accepted at NeurIPS 2026. View on GitHub
WIPE-OUT 2 Workshop on Machine Unlearning and Privacy Preservation Held at ECML-PKDD 2026, Naples. Workshop website
ERASURE Extendible Machine Unlearning Framework An open-source framework for Machine Unlearning research. View on GitHub
Selected Publications
Lethe: Link Inference Attacks for Evaluation of Edge Unlearning Methods
Advances in Neural Information Processing Systems (NeurIPS 2026) · 2026
Advances in Neural Information Processing Systems (NeurIPS 2026) · 2026
GRACE: Gradient-guided Coreset Selection for LLM Unlearning
Findings of the Association for Computational Linguistics: EMNLP 2026 · 2026
Findings of the Association for Computational Linguistics: EMNLP 2026 · 2026
On the Evaluation of Machine Unlearning Methods: A Multi-Domain Classification Benchmark
Machine Learning Journal (Springer) · 2026
Machine Learning Journal (Springer) · 2026
ERASURE: A Modular and Extensible Framework for Machine Unlearning
Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) · 2025
Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) · 2025
How to Make Reproducible Research in Machine Unlearning with ERASURE
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2025) · 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2025) · 2025