Martin Geroldinger

Martin Geroldinger is a researcher at the Research Program of Biomedical Data Science at Paracelsus Medical University. His work focuses on statistical methodologies for clinical trials in rare diseases, particularly Epidermolysis Bullosa, and biomedical data science applications.

• Key roles: Co-author in clinical trials, contributor to AI-based diagnostic pathways, organizer of biomedical data science colloquia

Research interests: He specializes in optimizing clinical trial designs for rare genetic disorders, analyzing count and binary data in cross-over studies, and leveraging machine learning for medical research. His work addresses challenges in patient burden reduction and outcome measurement.

Projects: Active in AI-driven medical knowledge extraction, 'long COVID' diagnostic pathways, and statistical approaches for rare epilepsies. Collaborates with Prof. Zimmermann and Dr. Thiel on rare disease trials.

• Activities: Organized the 2nd Biomedical Data Science Colloquium (2024), presented on statistical inference for rare disease trials (2022)