Cayelan Carey

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.
code10 years of coding experience
job10 years of employment as a software developer
bookBachelor's degree Environmental Biology, Bachelor's degree Environmental Biology at Dartmouth College
bookDoctor of Philosophy - PhD Ecology, Doctor of Philosophy - PhD Ecology at Cornell University
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Github Skills (26)

flora10
heat10
reservoir10
python9
sensor9
water-quality9
water8
ecology8
soil8
ord6
science5
r-package5
modeling-tool4
open-source4
gateway4

Programming languages (6)

RTeXJavaScriptHTMLGLSLFortran

Github contributions (5)

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CareyLabVT/LabDocuments

Jan 2019 - Sep 2024

Contributions:39 pushes, 1 branch in 5 years 8 months
CareyLabVT/FCR-GLM

Sep 2017 - May 2020

Contributions:150 pushes, 1 comment, 2 issues in 2 years 8 months
glmmodelingreservoir
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Cayelan Carey - Co-Director Of The Virginia Tech Center For Ecosystem Forecasting