Niklas Kormann

About Me

I am a PhD student 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

• [Jul. 2026] Visiting EEML summer school.
• [Jun. 2025] I gave a talk "Application of GNNs in Histopathology for Glomeruli Classification" at Roche Research upon invitation of Jelica Vasiljevic.
• [Mar. 2025] Started my PhD at École Polytechnique.

Preprints

Publications

Teaching

• [Fall 2026] Deep Learning (CSC_51054_EP)
  Teaching assistant, third year of Cycle Ingénieur polytechnicien at École Polytechnique.
• [Fall 2026] Introduction to Computer Programming (CSC_1F001)
  Teaching assistant, first year of Bachelor at École Polytechnique.

Achievements & Awards

• Runner-up for the Best Poster Award at MIDL 2025 (endowed with $300).
• 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€).