Computational and Systems Biology

Our researchers are advancing the field of computational biology by integrating bioinformatics, systems biology, and data-driven modeling to unravel complex biological processes. Our research focuses on analyzing large-scale genomic, proteomic, and microbiome datasets to uncover patterns and predict interactions between microbes, host cells, and disease pathways. By developing and applying sophisticated algorithms, machine learning models, and computational simulations, our scientists aim to identify novel biomarkers, understand microbial dynamics, and accelerate the discovery of therapeutic targets. This interdisciplinary approach enhances our ability to address critical questions in microbiology, from disease mechanisms to personalized medicine.