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Lead Faculty and Section Instructor, Master of Applied Data Science

Chuck Pepe-Ranney teaches Statistical Modeling and Inference for Data Science in the master of applied data science program as well as teaching data science basics at the Gillings School of Global Public Health. He also works as a genomics data scientist at Life Edit Therapeutics. He completed his PhD at the Colorado School of Mines studying hot-spring microbiology and later studied microbial carbon cycling in soil as a postdoctoral researcher at Cornell University.

He has been working with genomics data for over a decade and has applied that experience to study a variety of ecosystems from the human microbiome and agricultural soil to sea-star viruses. He taught computational microbiome analysis while in graduate school as a teaching fellow on the Microbial Diversity Course at Woods Hole and designed and led the team that implemented AgBiome’s genomic data platform which manages rich genomics information from nearly 100,000 microbial genomes.