SBI – Department of Systems Biology and Bioinformatics
Faculty of Computer Science and Electrical Engineering
University of Rostock
Ulmenstrasse 69 | 18057 Rostock
Germany
+49 381 498-7571
olaf.wolkenhauer@uni-rostock.de
Projects
Research Projects
A European standardization framework for data integration and data-driven in silico models for personalised medicine.
The AIR is to provide an interactive platform connecting scientific and medical communities.
By bringing the community of modelling groups together and contributing to the improvement of the annotation of existing models and the accessibility of related datasets, we will pave the way for the development of a modular, integrative model of cellular processes.
Academic background
since 2017 |
Phd-candidate at the institute for Systems Biology & Bioinformatics |
2015-2017 |
Master degree in Computer Science |
2011-2015 |
Bachelor degree in Computer Science |
Selected publications
Computational Models for Clinical Applications in Personalized Medicine—Guidelines and Recommendations for Data Integration and Model Validation
Collin CB, Gebhardt T, Golebiewski M, Karaderi T, Hillemanns M, Khan FM, Salehzadeh-Yazdi A, Kirschner K, Krobitsch S, EU-STANDSPM consortium, Kuepfer L
MDPI JPM (2022)
A systems appraoch to investigate inflammation resolution by multicomponent medicinal product TR14
Schopohl P, Smita S, Khan F, Gebhardt T, Hoch M, Brauer D, Cesnulevicius D, Schultz M, Wolkenhauer O, Gupta S
Evolution of computational models in BioModels Database and the Physiome Model Repository
Scharm M, Gebhardt T, Touré V, Bagnacani A, Salehzadeh-Yazdi A, Wolkenhauer O, Waltemath D
BMC Systems Biology 12:53 (2018)
Unveiling network-based functional features through integration of gene expression into protein networks
Jalilia M, Gebhardt T, Wolkenhauer O, Salehzadeh-Yazdi A
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
Visualising sub-networks in SBML models
Tom Gebhardt
2015
further information at the SEMS Webpage.
Teaching Experience
since 2017 |
Standards in Systems Biology Master students with background in Computational Engineering, Systems Biology, Biomedicine and others |