Stelling Jörg
professor
Biosystems Science
Institute of Theoretical Computer Science
Switzerland
Biography
Jörg Stelling is an Associate Professor for Computational Systems Biology of the Swiss Federal Institute of Technology (ETH) in Zürich since April 2008. He was born 1969 in Hildesheim (Germany). From 1989 to 1996 he studied Biotechnology at the Technical University of Braunschweig, with an intermediary stay at the Ecole Normal Superieure d'Agronomie Montpellier. By the end of 1996, he started as a PhD student at the Systems Dynamics and Control group of the University of Stuttgart, before becoming one of the first employees of the newly founded Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg. There, Jörg Stelling was significantly involved in establishing the Department for Systems Biology. In that field he received his PhD in 2004 from the Department of Mechanical Engineering, University of Stuttgart; his PhD thesis devised new methods for the analysis of robustness in complex biological networks. In 2005, he joined ETH Zurich as an Assistant Professor for Bioinfomatics in the Computer Science Department.
Research Interest
His current research interests are focused on the analysis and synthesis of biological networks using - and further developing - methods from systems theory and computer science. The highly interdisciplinary character of the research projects is reflected by an (international) network of collaborators from different disciplines.
Publications
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Jol, J.S., Kuemmel, A., Terzer, M., Stelling, J., Heinemann, M., System-level insights into yeast metabolism by thermodynamic analysis of elementary flux modes.
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Ganter, M., Bernard, T., Moretti, S., Stelling, J., Pagni, M., MetaNetX.org: a website and repository for accessing, analyzing and manipulating metabolic networks". Bioinformatics
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Sunnaker, M., Zamorra-Sillero, E., Dechant, R., Ludwig, C., Busetto, A.G., Wagner, A., Stelling, J., Automatic generation of predictive dynamic models reveals nuclear phosphorylation as the key Msn2 control mechanism
