Dailu Guan

Our lab investigates the genetic architecture of complex traits through the lens of quantitative genetics, functional genomics, and big-data–driven analysis. We focus on three pillars: complex trait genetics, comparative genomics, and predictive modeling. Using population-scale phenome, multi-omics profiling (bulk and single-cell, including spatial), and deep learning approaches, we study how genetic and regulatory variation shapes phenotype within and across species. Our goals are to pinpoint causal variants, genes, and pathways underlying complex traits, map conserved and lineage-specific regulatory programs that drive diversity and adaptation, and build predictive models that connect DNA sequence to molecular function and organismal traits, enabling mechanistic insight and translation to breeding and biomedicine.