Niklas Kormann

About Me

I am a PhD student in the Data Science and Mining Team at the Laboratoire d'Informatique of École Polytechnique in France. Previously, I finished my master degree at Fachhochschule Wedel. I wrote my master thesis in cooperation with École Polytechnique under the supervision of Prof. Johannes F. Lutzeyer and Prof. Hendrik Annuth after a research internship at École Polytechnique. Prior to that, I finished my bachelor in Industrial Engineering at Fachhochschule Wedel.

I am interested in translational research in Deep Learning with a focus on Graph Neural Networks and tackle challenges of heterophilic graphs and generalisation. In my master thesis I studied the application of Graph Neural Networks in Histopathology.

My academic CV can be accessed here

Research Interests

• Machine Learning: Representation Learning, Translational Applications.
• Graph Neural Networks: Generalisation, Heterophilic Graphs, Geometric Graphs.

News

• [Mar. 2025] Started my PhD at École Polytechnique.
• [Mar. 2025] Finished my master degree at FH Wedel and my thesis in cooperation with École Polytechnique.
• [Sep. 2024] Started my master thesis at École Polytechnique.
• [Apr. 2024] Started a research internship at École Polytechnique.
• [Oct. 2023] Started as a data science working student at Vattenfall.

Achievements & Awards

• University Award 2022 for an outstanding bachelor thesis by the Wedel University Association
• Scholarship of the Grohe Treuhand Foundation for industrial engineering bachlor students at the FH Wedel (10,800 €)