Gene regulation plays a central role in a wide range of biological processes and human diseases. Advances in single-cell and spatial omics technologies allow for high-throughput, high-resolution measurement of gene expression profiles, yet it remains challenging to unravel how cell-type-specific transcription programs are regulated. This presentation highlights Dr. Zang's lab’s recent work on developing computational methods to predict active transcriptional regulators using both single-cell and spatial omics data. This work demonstrates the power of integrating computational modeling with cutting-edge omics technologies to deepen our understanding of gene regulation.

Dr. Chongzhi Zang is an Associate Professor of Genome Sciences at the University of Virginia and Director of Computational Genomics at the UVA Comprehensive Cancer Center. Chongzhi is a computational biologist with expertise in cancer epigenomics. His research focuses on algorithm development for high-throughput genomic data analytics and integrative modeling of gene regulatory networks in mammalian cell systems.