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Steven Reilly received a B.S. in Biology from Carnegie Mellon University in 2009. He joined the lab of Jim Noonan at the Genetics Department of Yale School of Medicine to develop gene regulatory maps of the human, rhesus, and mouse cortex, focusing on understanding the changes that underlie the distinct aspects of human brain morphology and cognitive abilities. Steven obtained his Ph.D. in 2015 and joined the Broad Institute of Harvard and MIT to investigate the function of genetic variants, particularly those impacting natural selection and human disease. His research involves the development of novel machine-learning methods and CRISPR-based technologies to assess non-coding alleles and their cellular impacts. Steven leads the Reilly Lab at Yale, which focuses on high-throughput experimental approaches and computational tools to interrogate the genome, particularly pertaining to non-coding regulatory elements. The lab aims to derive insights into evolutionary adaptive genetic variants and their implications on human health and disease.
Yale Department of Genetics • New Haven, CT
Develops and applies new high-throughput experimental approaches to interrogate the genome and non-coding CRISPR screens.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.