Summary
Michael Schatz is a Bloomberg Distinguished Professor of Computer Science and Biology with 19 years of experience developing high-performance algorithms and systems for large-scale genome analysis. He leads research that bridges DNA sequencing, de novo genome assembly, variant detection, and -omics assays, applying HPC, cloud, and GPGPU techniques to biologically and agriculturally important genomes. His work has repeatedly pushed practical limits of whole-genome and read alignment, transcriptome and epigenetic analysis, and comparative genomics, translating algorithmic innovation into tools used by the genomics community. A seasoned academic and former industry software engineer, he combines rigorous CS training (PhD, University of Maryland) with deep domain expertise in human and plant genetics. Based in Baltimore, he is known for marrying information visualization and scalable compute to make complex genomic data interpretable and actionable.
19 years of coding experience
19 years of employment as a software developer
The University of Maryland, College Park
M.S, Computer Science, M.S, Computer Science at University of Maryland
BS, Computer Science, BS, Computer Science at Carnegie Mellon University