Oya Beyan

Prof. Dr. Oya Beyan is a Professor at the University of Cologne's Institute for Biomedical Informatics and a Core Scientist at the Center for Data and Simulation Science. Her research focuses on enabling FAIR (Findable, Accessible, Interoperable, Reusable) data management, distributed analytics on sensitive medical data, and data-driven innovations in healthcare. She leads projects like the PADME platform for federated machine learning and privacy-preserving analytics. Key areas include biomedical informatics, semantic web technologies, clinical decision support systems, and ethical challenges in data science.

Research Interests:

• FAIR Data Principles & Infrastructure
• Privacy-Preserving Distributed Learning
• Explainable AI in Healthcare
• Semantic Interoperability
• Medical Data Integration
• Ethical & Social Implications of Data Use

Notable Contributions:

• Development of the Personal Health Train framework for decentralized medical data analysis
• Leadership in EU-funded initiatives like NFDI4Health and Medical Informatics Collaborations
• Pioneering work on federated learning applications in oncology and rare disease research

Lab & Affiliations:

Prof. Beyan's work is anchored in the Institute for Biomedical Informatics and the Center for Data and Simulation Science, fostering interdisciplinary collaboration between computational science and medical research.