Michael Schatz
Bloomberg Distinguished Professor Of Computer Science And Biology at The Johns Hopkins University
Baltimore, Maryland, United States
Summary
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Senior🎓
Top SchoolMichael 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 ParkM.S, Computer Science, M.S, Computer Science at University of MarylandBS, Computer Science, BS, Computer Science at Carnegie Mellon University
Github Skills (91)
genomes10
computational-biology10
genomics10
next-generation-sequencing10
galaxy10
mapper10
genome10
sequencing10
wrapper10
metagenomics10
anvil10
genome-analysis10
bioinformatics10
pipeline9
bioconda9
Programming languages (14)
Github contributions (5)
schatzlab/appliedgenomics2022
Aug 2022 - Dec 2022
Materials for EN.601.449/EN.601.649 Computational Genomics: Applied Comparative Genomics
Contributions:59 commits, 2 PRs, 52 pushes in 3 months
genomicscomparativebioinformaticscomparative-genomicscomputational
schatzlab/presentations
Jun 2017 - Apr 2022
Contributions:33 commits, 32 pushes, 1 branch in 4 years 10 months
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