Learning the Language of Gene Regulation: From Single-Cell Genomics to Foundation Models

Dr. Wenpin Hou's research lies at the intersection of computational biology, artificial intelligence, and statistical genomics, with a focus on developing computational methods to understand gene regulation using single-cell, spatial, and epigenomic data. Dr. Hou develops machine learning and statistical approaches for analyzing large-scale genomic datasets, including methods for single-cell transcriptomics, chromatin accessibility, DNA methylation, spatial genomics, and multimodal data integration.