We integrate information on multiple scales, ranging from single-cell time series to cohort omics data. Heterogeneities in th ... e data are modeled using statistical and dynamical approaches, both on the cellular and on the population level. We develop innovative methods and tools in - data sciences - dynamical modeling - integrative omics and - bioimage informatics and apply them collaboratively with our experimental partners to - modeling stem cell decisions - modeling transcriptional heterogeneities and - quantifying gene environment effects in diabetes and lung disease to jointly advance our understanding and treatment of human diseases. read more
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