Teaching

Courses

2026 Winter, Lecture: Distributed Systems (MSc), University of Luxembourg
2024, Guest Lecture: Data Mining (MSc), Aarhus University
2024, Seminar: Leveraging Large Language Models for Molecule Prediction Tasks, Aarhus University
2023, Seminar: Knowledge-augmented Graph Machine Learning for Drug Discovery, Aalborg University
2022, Seminar: Hierarchical Message-passing Graph Neural Networks, Aarhus University
2021-2022, Teaching Assistant: Distributed Systems, University of Luxembourg
2020-2021, Teaching Assistant: Distributed Systems, University of Luxembourg
2019-2020, Teaching Assistant: Distributed Systems, University of Luxembourg
2018-2019, Teaching Assistant: Introduction to IT Security, University of Luxembourg

2026: AI-Assisted Property Prediction and Inverse Design of Liquid Crystal Elastomers
2025: Generalized Zero-Shot Learning on Graphs
2025: Malicious Repurposing of Open Science Artefacts in NLP Research by Using Large Language Models
2024: Towards Robust Post-hoc Graph Neural Network Explainers
2024: Cross-Domain Pre-Training of Graph Neural Networks for Spatial-Temporal Data
2024: Large Language Model-augmented Synthetic Graph Generation (Runner-up for the IT-Speciale Prisen from IDA IT)
2024: Large Language Model-augmented Pre-training of Graph Neural Networks
2023: Evaluation of Post-hoc Graph Neural Network Explainers
2023: Evaluation and Implementation of Self-Explainable GNN Models
2023: Ship Classification with Graph Neural Networks
2022: Anti-money Laundering in Mobile Money using Data Mining Techniques
2021: Comparison of Graph Neural Networks in Euclidean and Hyperbolic Space