Experimental approaches
We use advanced imaging techniques and molecular biology tools to study spatial organization of signaling pathways and cellular processes.
Our experimental approaches include quantitative microscopy, genetic manipulation, and biochemical assays to investigate how cells organize their signaling machinery in space and time.
Data-driven analysis
We develop and apply computational models to understand how spatial organization influences cellular behavior. This includes modeling of signaling networks, membrane dynamics, and cellular decision-making processes.
We integrate experimental data with theoretical frameworks to build predictive models of spatial organization and regulation in microbial systems.
