Fabian Gröger

Fabian Gröger is a Research Associate, Doctoral Student, and Lecturer at Lucerne University of Applied Sciences and Arts (HSLU), affiliated with the Lucerne School of Computer Science and Information Technology. He is a Scientific Collaborator at the Algorithmic Business (ABIZ) Research Lab and teaches in the CAS Machine Learning program. His roles include Data Scientist, Research Assistant, and Teaching Assistant in machine learning and artificial intelligence programs.

• Education:
  • Ongoing PhD in Biomedical Engineering, University of Basel
  • Master of Science in Data Science/ML, HSLU
  • Bachelor of Science in Computer Science, HSLU

His research focuses on Machine Learning, Deep Learning, Audio Data, and Self-Supervised Learning, with applications in digital dermatology, bioaerosol monitoring, and medical anomaly detection. His work emphasizes scalable foundation models, data quality audits, and reducing annotation needs in healthcare AI.

Recent publications highlight contributions to hyperbolic space applications in medical AI, audio representation learning for hearables, and benchmarking strategies like CleanPatrick. His work spans conferences like MICCAI, NeurIPS, and ECCV.

• Awards:
  • Outstanding Reviewer (JEADV, 2024)
  • Best Lightning Talk (AI Medicine Symposium, 2024)
  • Best Paper (MICCAI 2023)
  • Best Master Thesis (HSLU, 2023)

Gröger leads projects such as SelfClean for Audio and AI for All, and collaborates with industries like Prepress Media AG. He advises on algorithms for small-hotel revenue management and exhibits at events like the Museum Exposition on Food & AI.

His lab affiliations include the ABIZ Research Lab and the Digital Dermatology group, where he explores ethical AI, clinical decision support systems, and data-centric healthcare solutions.