Single cell RNA sequencing has emerged as a powerful tool in genomics. The technology is essential for understanding the heterogeneity of tissue compositions and the genetic architecture of complex traits and diseases. This project aims to develop new methods to address statistical and computational challenges in scRNAseq data analysis and facilitate the usage of scRNAseq technology.