Won Lab

The Won Lab studies various aspects in biology using computational approaches. We develop computational tools to unravel biological mechanisms and enhance our understanding of biological systems’ integrative data analysis. For this, we apply various machine-learning and artificial intelligence technologies to genome-scale data sets including single cell RNA sequencing and spatial transcriptomics data to understand gene regulation and cell-cell interactions.  

We study the function of a cell in harmony with its environment. Besides using classical omics data including epigenomic, proteomic, transcriptomic and genomic data from single as well as bulk cells, we integrate various information such as cell size, neighboring cells and tissue architectures to understand the interaction with the local and the global environment.