Research Assistant Professor at Weill Cornell Medicine
Washington, District of Columbia, United States
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Matthew Bendall is a computational biologist and data scientist with 11 years of experience applying bioinformatics and software engineering to genomics problems, currently a Research Assistant Professor at Weill Cornell Medicine. His work spans microbiome and pathogen detection, HIV-1 assembly and phylodynamics, and characterization of the human endogenous retrovirus transcriptome, blending NGS-focused research with production-grade bioinformatics tooling. Prior roles at the DOE Joint Genome Institute and GW’s Computational Biology Institute reflect a track record of building scalable analysis pipelines and methods for complex viral and metagenomic data. He holds a Ph.D. in Genomics and Bioinformatics and brings both deep domain expertise and practical software development skills to translational and research projects. An oft-overlooked strength is his combination of rigorous computational methods with hands-on experience in pathogen detection workflows, enabling rapid iteration from algorithm to applied results.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Genomics and Bioinformatics, Doctor of Philosophy (Ph.D.), Genomics and Bioinformatics at The George Washington University
Master of Science (M.S.), Biology, General, Master of Science (M.S.), Biology, General at Brigham Young University
Contributions:1 release, 75 commits, 42 pushes in 4 years 1 month
geneticsviralviral-ngspopulation-geneticsngs
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Matthew Bendall - Research Assistant Professor at Weill Cornell Medicine