
معرفی
Olaf Wolkenhauer is a Full Professor and Chair in Systems Biology & Bioinformatics at the Faculty of Computer Science & Electrical Engineering, University of Rostock, a position he has held since 2003. Additionally, he serves as Guest Professor and Interim Head of Section III at the Leibniz Institute for Food Systems Biology, Technical University of Munich, until 2025. He maintains adjunct professorships at Chhattisgarh Swami Vivekanand Technical University (India) and Case Western Reserve University (USA).
His research integrates data science and mathematical modeling to decipher emergent properties in cellular systems, combining data-driven and model-driven approaches. Utilizing machine learning, statistics, systems theory, and stochastic processes, he investigates how interactions between cellular components produce system-level functions that constrain part behaviors. His work bridges computational sciences with life sciences applications in biomedical research, pharmaceutical development, and clinical decision support.
Recent publications reveal dominant themes in cancer systems biology (melanoma, metastasis), network analysis of high-throughput data, drug repositioning, and computational methods for imbalanced datasets. Key interdisciplinary applications include SARS-CoV-2 virus-host interaction mapping, inflammation resolution mechanisms, and E2F1 transcription factor networks in therapeutic resistance.
Scientific recognition includes:
- SPIE Pioneer Award (2009)
- IBM Computing Prize (1994)
Wolkenhauer leads collaborative projects with biomedical researchers, pharmaceutical companies, and IT firms, developing machine learning workflows for wet-lab data analysis, molecular network modulation studies, and clinical decision support systems. His teaching includes graduate courses in BioSystems Modelling, Life Sciences Simulation, and Python-based Data Science.
He directs the Research Group Network Regulation & Modeling / Machine Learning at the Leibniz Institute, contributing to major initiatives like the COVID-19 Disease Map and Atlas of Inflammation Resolution, fostering international networks in systems medicine and computational biology.




