Summary
Anna Spiers is a quantitative ecologist and data scientist with eight years of experience applying remote sensing, predictive analytics, and reproducible data workflows to environmental challenges. Currently an ORISE Fellow at USGS after Earth Systems postdoc work at Berkeley Lab, she blends process-based vegetation modeling with large-scale satellite data to improve ecological forecasting. Trained in mathematics (BA, Williams) and pursuing a PhD in Ecology at CU Boulder, she pairs strong quantitative foundations with field and lab research spanning tropical ethnobotany to canopy microbiomes. Known for automating analyses and championing FAIR, reproducible science, she also brings project management experience building predictive health models in industry. Based in Oakland, she combines interdisciplinary communication skills with a proven track record of independent, curiosity-driven research that uncovers practical insights for climate adaptation.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Maggie L Walker Governor's School
Doctor of Philosophy - Ph.D., Ecology, Doctor of Philosophy - Ph.D., Ecology at University of Colorado Boulder
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Williams College