We develop novel methods for data analytics and simulations and conduct interdisciplinary research in stochastic gene expression (incl. epigenetics and chromatin organization) and systems biology of the human microbiome in complex diseases. We additionally study dynamic properties of cellular compartments in signaling processes relevant to development and health. 

In our work, we combine cutting edge mathematical and computational techniques along with analysis of experimental data into multi-scale systems biology models, integrating various types of experimental data into fully calibrated models that have predictive power. This data includes e.g. super-resolution microscopy, EM, Hi-C, DNA/RNA/ChIP sequencing and proteomics.