Summary
Austin Delany is an Environmental and Computational Data Scientist with nine years of experience building data-driven forecasting systems and managing large environmental databases. Currently at Virginia Tech’s Center for Ecosystem Forecasting, he develops and maintains automated, real-time lake and reservoir water quality forecast workflows using R, GitHub, and cloud infrastructure. His MS in Freshwater and Marine Science and background in atmospheric sciences underpin a research-first approach—he’s built process-based models of carbon cycling that link meteorology, organic carbon sources, and lake oxygen dynamics. Prior roles as a data manager for the national LAGOS lake dataset and as a meteorological analyst honed his skills in data engineering, SQL, Python, and reproducible workflows. Austin blends domain expertise with practical software practices to turn complex earth-system processes into reliable operational products for researchers and stakeholders. Notably, he pairs hands-on field science intuition with automated production pipelines, a combination that accelerates hypothesis testing and decision-ready forecasting.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Freshwater and Marine Science, Master's degree, Freshwater and Marine Science at University of Wisconsin-Madison
English, German