The long-term goal of our research is to elucidate how genomic and environmental variation of RNA regulatory networks impacts phenotypic traits and diseases. We are a hybrid computational and experimental lab. We combine genomic, bioinformatic, molecular, and network approaches to study mRNA processing and post-transcriptional gene regulation in mammalian cells. We develop novel computational and statistical methods for analysis of massive genome and transcriptome data. We integrate computational studies with high-throughput and experimental research to systematically investigate the variation and dynamics of RNA regulatory networks between species, within human populations, and in response to developmental and disease signals.