Function and Responsibilities:

Bioinformatic lead in the section:

• Planing and execution of bioinformatic analyses
• Introduction of new methods with regard to analysis of Next-Generation Sequencing (NGS) data
• Creation and optimization of analysis pipelines
• Storage of raw data and integration of meta data
• App (R/Shiny) development
• Administration of section server infrastructure

Research Interests:

• Gen regulation and control
  
• Microbial communities and interaction with the invironment
  
• Next-Generation Sequencing (NGS) including Nanopore Sequencing applications
• (Meta) Genomics
• (Meta) Transcriptomics
• Reconstruction of novel microbial genomes
• Large-scale genetic analyses
• RNA secondary structure
• Translation & Ribosome
  
• Digital image processing (RGB and hyperspectral)
  
• Data visualization
• R-programming / Shiny (WebApps)
  

Education:

since 2019 PostDoc at GFZ

2018-2019 Data Scientist and Web developer bei Ferchau GmbH

2016-2018 Bioinformatician at Targenomix GmbH (Research & Development)

2016 PhD in Bioinformatics (Universität Hamburg and Universität Potsdam)

2012 Master of Science in Bioinformatics (Universität Potsdam)

2010 Bachelor of Science in Moleculare and Cell Biology (Universität Potsdam)

Projects:

BMBF Project MikroKIez with the aim to predict the biodiversity of microorganisms in soil with the help of artifical intelligence

GreenGate Genomics transfer project to offer scientific knowledge and microbial genomic analysis 

Recent projects: @Researchgate

Research Boards and Committees:

CLUE-TERRA - The CoLlaborative mUlti-domain Exploration of TERRestriAl metagenomes (CLUE-TERRA) is a consortium formed by scientists from 13 institutions encompassing 9 different countries.

NFDI4microbiota - NFDI4Microbiota is a consortium that is part of the German NFDI (National research Data Infrastructure). The vision of the NFDI4Microbiota consortium is that researchers in microbiology (including bacteriology, virology, protistology, mycology and parasitology) can translate research data easily into a deep understanding of microbial species and their interactions on a molecular level.