Johannes Lutzeyer

Johannes Lutzeyer is an Assistant Professor in the Data Science and Mining Team at the Computer Science Department of École Polytechnique in France. His academic journey includes a PhD in Mathematics from Imperial College London (supervised by Prof. Andrew Walden) and a postdoctoral fellowship at École Polytechnique with Prof. Michalis Vazirgiannis.

• Current role: Assistant Professor in Computer Science at École Polytechnique
• PhD: Mathematics Department, Imperial College London
• Postdoc: École Polytechnique

His research lies at the intersection of Graph Representation Learning, Statistics, and Computer Science, focusing on Graph Neural Networks (GNNs) and spectral properties of graph shift operator matrices. Recent work explores robustness against adversarial attacks, virtual nodes, and theoretical advancements in GNN expressiveness.

The 15 most recent publications span Machine Learning, Deep Learning, and Network Science, with subfields including GNN Robustness, Hyper-Heuristics, Bioinformatics Applications, and Spectral Analysis. Collaborations include leading conferences like ICML, ICLR, and AAAI.

• Scientific Recognition
  • LOG Top Reviewer Awards (2024)
  • ICML Best Reviewer Awards (2024)
  • NeurIPS Top Reviewer Awards (2023)

Johannes actively engages in academic knowledge dissemination through keynote talks, including titles like “Understanding Virtual Nodes in Graph Neural Networks” (ICLR 2025) and “Methodological Advances in Graph Neural Networks” (Ericsson Research 2024). He also invites applications for PhD positions, reflecting his mentorship role.