Michael Weigand is a bioinformatician with nine years of experience applying comparative genomics, metagenomics, and experimental evolution to understand the ecology and evolution of bacterial pathogens. At the CDC he leads whole-genome analyses of Bordetella pertussis with a focus on genomic rearrangements, building on prior postdoctoral work developing metagenomic and comparative-genomics pipelines at Georgia Tech. His PhD research on hypermutability and adaptation in Pseudomonas produced multiple peer-reviewed publications, including a first-author PNAS paper, and he routinely combines wet-lab bacterial genetics with computational mutation and phylogenetic analyses. Based in Atlanta, he mentors students and manages multi-institution collaborations, translating method development into public-health surveillance tools. An appetite for connecting environmental microbiology to pathogen detection—e.g., source-tracking signatures in fecal indicator bacteria—underscores his translational approach to genomic epidemiology.
9 years of coding experience
10 years of employment as a software developer
BS, Biochemistry, Environmental Chemistry, Biology, BS, Biochemistry, Environmental Chemistry, Biology at Saint Vincent College
PhD, Genetics, Microbiology, PhD, Genetics, Microbiology at Michigan State University
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