Curriculum vitae

Working experience

Bioinformatician (since June 2015)

Oncotest GmbH, a Charles River company

Scientific assistant (03/2014 - 05/2015)

Georg-August-University (Göttingen)

Analysis of Metatranscriptomes obtained from the soils of mono and mixture cultured forests

Scientific assistant (12/2011 - 02/2014)

Georg-August-University (Göttingen)

Collaboration with biological and bioinformatics partner in a project on "The plant-pathogenic fungus Verticillium longisporum and the interaction with its host Brassica napus" (funded by the Federal Ministry of Education and Research, Grant 0315595A)

Database and Software Developer as Freelancer (07/2010 - 04/2014)

SalesTV GmbH (Göttingen)

Developed a database and software for large scale data integration. Additionally, developed several software tools for diverse tasks.

Student assistant (2007 - 2011)

Georg-August-University (Göttingen)

Development of software and Linux server administration


Doctoral Candidate (2011 - 2015)

Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (Funded in the Excellence Initiative by the German Federal and State Government)

Title: Reconstruction of metabolic pathways from heterogeneous data (summa cum laude)

Development of methods for the prediction of metabolic functions in de novo sequenced organisms from several biological high-throughput data sets.

Master of Science (2009 - 2011)

Georg-August-University (Göttingen)

Applied Computer Science (Bioinformatics): Graph-based analysis of mass-spectrometry data (Overall grade: 1,8)

Investigation on the analysis of non-targeted metabolic massspectrometry data in terms of metabolic pathways using graph algorithms. The developed Java Software MarVis-Graph processes data from metabolic and transcriptomic experiments and relates them using biochemical reactions in the organism's metabolic network. Afterwards, graph algorithms are utilized to infer and extract enriched sub-networks.

Bachelor of Science (2005 - 2009)

Applied Computer Science (Bioinformatics): Database development for the storage of metabolite-based experiments (Overall Grade: 2.4 - good)

Development of a database schema to store large-scale non-targeted massspectrometry measurements (PostgreSQL). Additionally, construction of a framework for the integration of remote biomolecular databases for annotation of the measured experimental features in terms of known chemical molecules (Perl).