Summary
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