Katherine Eaton is a data engineer and multidisciplinary researcher with a decade of experience building data-driven systems that bridge computational biology and anthropology. Currently developing a genomics-enabled database for the Best Future Forests project at the University of Alberta, she combines hands-on engineering with domain expertise in molecular genetics and infectious disease. Her background includes senior computational biology work at Canada’s National Microbiology Laboratory and a PhD focused on blending quantitative methods with ethnographic insight. She’s completed fellowships in big data and digital scholarship, and brings uncommon operational discipline from six years in frontline food service, thriving under pressure and tight deadlines. Katherine’s work sits at the intersection of research and production: translating complex genomic and ecological data into practical systems that support tree improvement and stewardship across Alberta.
10 years of coding experience
Doctor of Philosophy - PhD, Anthropology, Doctor of Philosophy - PhD, Anthropology at McMaster University
Honours Bachelor of Arts, Physical and Biological Anthropology, Honours Bachelor of Arts, Physical and Biological Anthropology at University of Alberta
Biomathematics, Bioinformatics, and Computational Biology, Biomathematics, Bioinformatics, and Computational Biology at University of Toronto at Mississauga - Erindale College
Contributions:36 pushes, 7 branches in 5 years 2 months
biocondabioinformaticsrecipesconda
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