Working experience

Research Scientist Bioinformatics (since March 2018)

Evotec SE (Göttingen)

Scientist Bioinformatics (06/2015 - 02/2018)

Charles River Discovery Research Services Germany GmbH (Freiburg)

Scientific assistant (03/2014 - 05/2015)

Georg-August-University (Göttingen)

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

• Predicting biomolecular functions employed in the different forests using PRSeq (Landesfeind et al., 2014)
• Differential expression analysis using R (EdgeR)

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)

• Analyzed the genomes and proteomes of V. longisporum strains and closely related species. Established a functional annotation pipeline utilizing settled and novel bioinformatics software tools (e.g. BLAST and InterPro Scan)
• Developed various webservices and -tools to support analyses on the organisms including gene model curation (HTML, CSS, JQuery Javascript, PHP, Perl)
• Development of software for the statistical analysis of experimental protein list by means of set enrichment analyses (Java, Swing)
• Linux server and website administration providing generated data to collaborators
• Designed a database system for data set management supporting the monitoring and processing of complex biomolecular data. Superintended and reviewed the development and implementation (Perl, MySQL, HTML, JQuery).
• Conception, organization, and lecturing workshops for biological departments. Supporting them on using provided tools for manual annotation of the fungus' genome, transcriptome, proteome, and metabolome.

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.

• Conception and development of a relational database for metadata integration on several million books in a direct marketing appliance (MySQL)
• Implementation of software to carefully integrate and combine metadata for books from remote and heterogenous sources (Perl)
• Construction of a software framework for motion detection on direct marketing appliances
• Implementation of a UMTS client for Linux thin clients to provide WLAN hotspots

Student assistant (2007 - 2011)

Georg-August-University (Göttingen)

Development of software and Linux server administration

• Reimplemented and extended a computer network monitoring software including physical localization of devices and intrusion detection (Perl, MySQL)
• Constructed a framework to automatically install computer software on hundred devices (Perl)
• First-Level support of users on using Linux

Education

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.

• Analysis of metabolomic massspectrometry, DNA micro-array, and RNA-Seq data sets
• Enhancement of the MarVis-Graph software tool by graph algorithms for scoring and sub-network detection
• Analysis of RNA-Seq data for pathway reconstruction and creation of the PRSeq software tool (programmed in C)

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).