Data Science and Modeling

This informatics group conducts modern biotechnology research that produces increasing amounts of data related to characterization of strains and cell lines that are being studied or engineered.

The experimental data generated by this group includes omics data sets (genomics, metagenomics, transcriptomics, proteomics, metabolomics and fluxomics) as well as data from high-throughput screening and fermentation experiments.

The data science and modeling team focuses on turning data into practically usable insights about cell factories using both statistical and mechanistic modeling-based approaches. The main activities in the team are:

  • Supporting translational cell factory development projects in the iCore unit
  • Providing training and consultancy in data science for the Center
  • Participating in development data analysis and visualization infrastructure for the Center

In addition to the activities above, the data science and modeling team also employs PhD students and postdocs to develop new modeling and machine learning approaches for data-driven cell factory development. The students and postdocs are primarily funded by external research funds from the European Commission and Innovations Fund Denmark.


Markus Herrgard
DTU Biosustain
+45 24 92 17 80