
About
Prof. Burkhard Rost is a Professor at the Technical University of Munich (TUM) since 2009, holding the Chair of Bioinformatics within the TUM School of Computation, Information and Technology. His research focuses on integrating artificial intelligence and machine learning with evolutionary biology to predict protein function, structure, and interactions. He aims to advance early disease detection and treatment through computational methods.
Education:
- Bachelor/Master in Physics, History, and Philosophy from Universities of Giessen and Heidelberg
- PhD from the European Molecular Biology Laboratory (EMBL) in 1994
Research interests include protein structure prediction, machine learning-driven bioinformatics tools, and understanding evolutionary mechanisms. His work bridges computational methods with biological insights, contributing to tools like PredictProtein and ProtTrans. Recent publications emphasize protein language models, pathogen prediction, and epigenetic longevity studies.
Awards:
- Alexander von Humboldt Professorship (2009)
Prof. Rost leads international collaborations, including as President of the International Society for Computational Biology since 2007. His lab develops visualization tools (e.g., FlatProt, TMVisDB) and predictive models for biomedical applications.
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