Renata Diaz is a data scientist and field ecologist with a Ph.D. in Interdisciplinary Ecology and nearly a decade of experience applying computational tools to large ecological datasets. She writes scientific software, builds databases, and trains researchers in reproducible, open-source workflows, currently supporting computationally intensive projects at the University of Arizona. Her background spans hands-on field ecology and advanced simulation modeling of eco-evolutionary dynamics, giving her a rare ability to bridge theory, data engineering, and practical research needs. Previously she contributed to eBird and academic data-science teams, pairing production-grade data engineering with domain expertise in biodiversity and conservation. Colleagues rely on her to turn messy ecological observations into well-documented, reusable code and robust analyses that accelerate collaborative science.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA, Ecology and Evolutionary Biology, Bachelor of Arts - BA, Ecology and Evolutionary Biology at Princeton University
Doctor of Philosophy - PhD, Ecology, Doctor of Philosophy - PhD, Ecology at University of Florida
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