Clara Qin is a postdoctoral data scientist and biogeographer with 11 years of experience applying statistics and eDNA to understand soil fungal community assembly across continents. She combines rigorous quantitative methods from a Stanford MS in Statistics with a PhD in Environmental Studies from UC Santa Cruz to evaluate threats to mycorrhizal biodiversity and inform conservation and agricultural disease management. At SPUN she develops global-scale eDNA analytics, and her prior work includes building cloud-based air quality data infrastructure for policy use. Clara’s background spans field ecology, teaching, and data engineering, giving her a rare blend of hands-on sampling expertise and reproducible computational workflows. Colleagues know her for translating ecological theory into practical monitoring tools that scale from field plots to international soil networks.
11 years of coding experience
4 years of employment as a software developer
University of California Santa Cruz
Master's Degree, Statistics, Master's Degree, Statistics at Stanford University
Contributions:2 pushes, 1 branch in 3 years 1 month
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