Section III

Research Group: Network Regulation & Modeling / Machine Learning

The research group Network Regulation & Modeling / Machine Learning (focus: network analysis and machine learning) investigates and applies methods from bioinformatics, systems biology, machine learning, and artificial intelligence (AI) to understand interactions between food and consumers at the molecular level. It models biological networks and their regulatory mechanisms using causal system models and validates them through in silico simulations and *omics perturbation experiments using high-throughput sequencing and proteomics. The aim is to build databases (data from Sections I–III) that link foods via molecular components to biochemical networks and cellular phenotypes.