Stephen is a computational genomicist passionate about understanding how regulatory sequences impact the regulation of gene expression. His research in the FGC group focuses on using capture Hi-C datasets to map the complex regulatory interactions between enhancers and promoters to understand complex human disease and mammalian evolution. Prior to joining the FGC group, he was a postdoctoral fellow in the Reilly lab at Yale University, where he analyzed massively parallel reporter assays and deep learning variant effect predictions to identify functional variants in human adaptive evolution and mammalian evolutionary conservation. He completed his BA at Washington University in St. Louis in mathematics and anthropology on modeling the evolution of eusociality, and his PhD at Brown University on the RNA splicing effects of genetic variants in archaic introgression. Outside of the lab, he enjoys cooking, movies, and exploring new restaurants, museums, and nature.