Our research group focus on understanding of spatial genome organization and functions. Through the application of computational biology, we aim to develop efficient algorithms, computational methods, and pertinent software tools. Leveraging cutting-edge technologies such as machine learning, deep learning, and artificial intelligence (AI), we employ these methods to analyze extensive publicly available biomedical data, aiming to provide solutions to intricate biological challenges.
Our overarching mission is to foster the creation of computational frameworks that unravel the hierarchical intricacies inherent in biologically significant genome topology. Through these endeavors, we aspire to significantly contribute to the deepening of our understanding of life at the molecular level.