Microbial Data Science

Our group strives to assess environmental health of terrestrials and man made environments by predicting how resilient/stable a microbial community is to specific disturbances. A special emphasis is put on the development of concepts and theories to scale microbial interactions to the real diversity found in nature.

The key research topics of the Microbial Data Science group are based on genetic potential of microbial communities, integration of multi-omics analysis and predictive biology. Currently these topics cover:

1. Use of (in silico) mock microbial communities to test microbial ecology theories
2. From microbial 'Big Data' to novel ecological concepts and theories
3. Predictive analytics in microbiology, microbial ecology and environmental microbiology