We have pioneered single-cell multi-omics technologies to profile DNA methylation and 3D genome structure in the same single cell. We expand single-cell multi-omics toolkits and layer on various perturbations in vitro or in vivo to reveal the regulators of different molecular signatures, which will help resolve the causal relationships between these modalities.

Equipped with abundant resources of single-cell multi-omics data, we interpret disease-associated genetic variants to understand the molecular basis of complex human diseases. To bridge the gap between human genetics and single-cell reference atlases, we develop computational methods to predict the cell-type specific effect of mutations, and use statistical methods to link these effects with human diseases to identify disease-associated variants, genes, and cell types.