Tom Gebhardt


Research Projects


A European standardization framework for data integration and data-driven in silico models for personalised medicine.



AIR: Atlas of Inflammation Resolution

The AIR is to provide an interactive platform connecting scientific and medical communities.


INCOME: Integrative Collaborative Modelling in Systems Medicine

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
University of Rostock,
Rostock, Germany


Master degree in Computer Science
University of Rostock
Rostock, Germany


Bachelor degree in Computer Science
University of Rostock
Rostock, Germany


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

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