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Michael Schatz is a Bloomberg Distinguished Professor at Johns Hopkins University, recognized as one of the world's foremost experts in computational biology and genomics. His research focuses on innovative biotechnologies and computational tools for studying sequence function in genomes, with applications in medicine, particularly in understanding autism spectrum disorders, cancer, and various human diseases. He founded and directs the Schatz Lab, where he developed widely used methods for assembling full genetic materials from single individuals and species, such as NGMLR and Sniffles for long-read sequencing analysis. His lab's work has led to the identification of numerous structural alterations in cancer genomes and developed new algorithms like GECCO for studying complex non-coding structural variations. Schatz's leadership in the computational biology field includes founding the Cold Spring Harbor Laboratory conference on biological data science and serving on various program committees. He holds degrees in computer science from Carnegie Mellon University and the University of Maryland, and has held significant roles at Cold Spring Harbor Laboratory prior to joining Johns Hopkins in 2016.
Cold Spring Harbor Laboratory • Cold Spring Harbor, NY
Led research initiatives focusing on the genetics and genomics of cancer.
Johns Hopkins University • Baltimore, MD
Engaged in teaching and research in computational biology and genomics.
Department of Pathology - PhD in Pathobiology. GRE is not required.