Summary
Jonathan Badger is a Staff Scientist with 16 years of experience applying (meta)genomics, transcriptomics, and molecular evolution to unravel how microbial communities influence human health, particularly in cancer and inflammation. Based at the National Cancer Institute, he designs computational methods for microbiome analysis and brings deep expertise in phylogenetic inference, genomic annotation, and microbiome-driven hypothesis testing. His technical toolbox spans C, Perl, R, and Ruby, and his career blends academic rigor—from a Ph.D. in Microbiology—to leadership roles at the J. Craig Venter Institute and contributions as an editor for PLoS One. Jonathan has a track record of building analysis tools and leading genome projects that link evolutionary insight to practical biomedical questions. He is comfortable moving between hands-on algorithm development and large-scale project direction, and often approaches microbiome problems through the lens of molecular evolution rather than purely clinical association. Based in Bethesda, Maryland, he combines long-term methodological depth with a pragmatic focus on translational impact.
16 years of coding experience
18 years of employment as a software developer
BS, Bacteriology, BS, Bacteriology at University of Wisconsin-Madison
Ph.D, Microbiology, Ph.D, Microbiology at University of Illinois Urbana-Champaign