معرفی
Steven Reilly is an Assistant Professor of Genetics at Yale School of Medicine. He leads the Reilly Lab, focusing on developing high-throughput experimental and computational tools to study gene regulatory elements and their roles in human evolution and disease. His work integrates CRISPR technologies, machine learning, and evolutionary principles to characterize functional genetic variation.
Education: B.S. in Biology (Carnegie Mellon, 2009), Ph.D. in Genetics (Yale, 2015), Postdoctoral training at the Broad Institute (2015–2021). Research interests include non-coding variation, human-specific genomic deletions, and the evolutionary basis of disease susceptibility.
Key projects involve Massively Parallel Reporter Assays (MPRA), CRISPR-based functional screens, and computational models to predict variant functionality. The lab’s work addresses how evolutionary selection impacts modern human traits and diseases, with applications in lipid metabolism, infectious disease, and schizophrenia.
Recent studies include machine-guided design of cell-type-targeting regulatory elements (Nature 2024) and somatic mosaicism in schizophrenia (Science 2024). Awards include the Bohmfalk Scholarship (2022).
