Michalis Vazirgiannis

Michalis Vazirgiannis is a Professor at the Department of Computer Science, École Polytechnique, France, leading the Data Science and Mining (DaSciM) group. He holds degrees in Physics (Athens University), Informatics (PhD, Athens University), and AI (Heriot-Watt University). His research focuses on machine learning for graphs, NLP, combinatorial optimization, and applications in fraud detection, biomedical tasks, and social networks. He has supervised 29 PhD theses and published over 250 papers. Awards include the ERCIM Fellowship, Marie Curie EU Fellowship, and Tencent's Rhino-Bird Award.

Educations

• Bachelor's in Physics, Athens University
• Master's in AI, Heriot-Watt University
• PhD in Informatics, Athens University

Research Interests
His work spans graph neural networks (GNNs), community detection, text mining, and biomedical applications. He emphasizes explainability in GNNs and has developed models like RW-GNN. Current projects include the ANR-HELAS Chair on heterogeneous data and the X/AXA Data Science Chair. Industrial collaborations include Airbus, Google, and Tencent.

Grants & Chairs

• ANR-HELAS Chair (2020–25): Deep learning for graphs and NLP
• AXA Data Science Chair (2015–18)
• ANR-XCOVIF (2020–21): Social impact analysis of COVID-19 via social media

Labs & Teams
The DaSciM group has 15 completed PhD theses and collaborates with industry on projects like predictive maintenance and recommendation systems. Key projects include graph generative models for biomedical data and privacy-preserving synthetic medical records.