We are a young research group at the Guangzhou Laboratory. If you are interested in working with us, please see more information on Positions.
Transformative single-cell multi-omics and spatial technologies now provide an opportunity to dissect the state of individual cells at unprecedented resolution. Given the rapid development of different single-cell biotechnologies and new wave of big omics data with their own specificities in terms of complexity and information content, our aims is to use computational and theoretical approaches combined with multi-omics high-throughput sequencing data to quantitatively address the full-scale complexity of biological systems and derive novel biological insights. We are building an interdisciplinary team to tightly link computation and biological technologies, and gradually set up wet experiment systems for validating computationally inferred hypotheses. We will always be eager to seek collaborations, such as cancer immunology, within our rich scientific community to push forward our understandings of regulation mechanism and yield new therapeutic approaches for human disease treatment.
We are looking for passionate undergraduate/graduate student and postdoc to join the team (more info) !
Our collaboration study of Human iPSC-based breast cancer model identifies S100P-dependent cancer stemness induced by BRCA1 mutation has been online publised in Science Advances, Congratulations to Jingxin!
Jul 2025Our collaboration study of High-resolution mapping of single cells in spatial context has been online publised in Nature Communications, Congratulations to Jincan!
Jul 2025Our collaboration study of Deciphering the MHC immunopeptidome of human cancers with Ligand.MHC atlas has been online publised in Briefings in Bioinformatics, Congratulations to Meilin!
Mar 2025Our collaboration study of spatiotemporal transcriptome atlas of developing mouse lung has been online publised in Science Bulletin, Congratulations to Wenjia!
Dec 2024Our collaboration study of spatiotemporal regulatory logics of mouse gastrulation has been posted on bioRxiv. We developed BioCRE and ST-MAGIC for single-cell and spatial multi-omics analysis.