Cell Center

Cell center research focuses on understanding and manipulating the spatial organization and dynamics within cells, primarily through advanced imaging and computational modeling. Current efforts leverage deep learning architectures, such as convolutional neural networks and generative flow networks, to analyze high-dimensional cell data (e.g., microscopy images, transcriptomic profiles) and predict cellular responses to molecular perturbations. These advancements are significantly impacting drug discovery by enabling more efficient high-content screening and the design of targeted therapies based on precise manipulation of cellular states.