Sawyer Newman is a data manager who blends anthropology, archival practice, and information science to make complex oceanographic and health-science datasets discoverable and reusable. With nine years of experience across WHOI, Yale, and Harvard Medical School, Sawyer excels at metadata curation, data workflow design, and translating researcher needs into user-centered data systems like BCO-DMO and OOI. Their work pairs hands-on Python data cleaning with cross-disciplinary collaboration among scientists, developers, and librarians to improve research impact and usability. Based in Falmouth, MA, they also pursue side projects that explore community, culture, and technology—bringing a curiosity about how environmental and cultural systems shape data practices that isn’t obvious from job titles alone.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Anthropology, Bachelor of Science (B.S.), Anthropology at Michigan Technological University
Master of Library and Information Science, Information Science and Technology, Master of Library and Information Science, Information Science and Technology at Simmons College
International Baccalaureate, International Baccalaureate at SSIS | Suzhou Singapore International School
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