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Steven Reilly received a B.S. in Biology from Carnegie Mellon University in 2009. He joined Jim Noonan's Lab in the Genetics Department of Yale School of Medicine, where he contributed to mapping gene regulatory maps and identifying changes in human brain morphology. After obtaining his Ph.D. in 2015, he worked in the laboratory of Pardis Sabeti at the Broad Institute of Harvard and MIT, focusing on genetic variants related to natural selection and human disease. He has developed machine-learning methods for predicting human genetic variants and designed CRISPR perturbation techniques to assess the functionality of non-coding genetic variants. In September 2021, he joined Yale's Department of Genetics as an Assistant Professor. His lab applies high-throughput experimental approaches and computational tools to interrogate genomic signals and identify functionally impactful variants related to human phenotypes and diseases. His research aims to advance the understanding of regulatory variation and human evolutionary change. He co-leads a working group on CRISPR screening practices and has developed novel computational tools to model positive selection in human populations.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.