Co-Director Of The Virginia Tech Center For Ecosystem Forecasting
Blacksburg, Virginia, United States
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Summary
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Cayelan Carey is a freshwater ecosystem scientist and data-driven environmental modeler who leads interdisciplinary teams to forecast lake and reservoir water quality as Co-Director of the Virginia Tech Center for Ecosystem Forecasting. With over a decade of academic leadership at Virginia Tech and a PhD from Cornell, she combines high-frequency sensor data, time-series analysis, ecosystem modeling, and whole-ecosystem experiments to produce actionable daily forecasts used by water managers worldwide. Her group has published more than 160 peer-reviewed papers and maintained continuous NSF support since 2013, reflecting sustained research impact and funding success. Carey also champions undergraduate training in ecological data science through the NSF-supported Macrosystems EDDIE program, embedding real sensor datasets into curricula to build computational literacy. Notably, her work spans applied decision support—co-designing forecast products with utilities—and international field experience across a dozen-plus countries, bridging fundamental science with practical water security outcomes.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree Environmental Biology, Bachelor's degree Environmental Biology at Dartmouth College
Doctor of Philosophy - PhD Ecology, Doctor of Philosophy - PhD Ecology at Cornell University
This repository contains the files for the General Lake Model-Aquatic EcoDynamics model for Falling Creek Reservoir (Vinton, VA, USA), analyzing the model output, and generating figures for the paper "Anoxia decreases the magnitude of the carbon, nitrogen, and phosphorus sink in freshwaters" by Carey et al. in Global Change Biology
Contributions:3 releases, 1 review, 1 PR in 1 year 10 months
Contributions:39 pushes, 2 branches in 6 years 8 months
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