Michael Vlah is a Technical Lead and data scientist with a decade of experience applying scientific programming to environmental and social problems. He combines rigorous training in biogeochemistry and ecosystem science with hands-on expertise in data engineering, statistical modeling, and visualization developed through roles at Duke, UW, and civic-data projects. His work spans the full data pipeline—field data collection to Bayesian and time-series analysis to real-time visualization—bringing both domain knowledge in hydrology and ecology and production savvy from applied projects like congestion visualization for city transportation. Based in Logan, Utah, he focuses on tools that advance environmental and social good, motivated by curiosity about natural systems as much as by engineering craft. Colleagues rely on him for interdisciplinary problem solving that turns messy ecological data into actionable insights.
10 years of coding experience
Master of Science (MS) Biogeochemistry, Master of Science (MS) Biogeochemistry at University of Washington
BS Biology (Ecosystem Science concentration), BS Biology (Ecosystem Science concentration) at Allegheny College
development ground for general watershed tools (delineation, viz, remote sensing, etc...)
Contributions:16 commits, 3 PRs in 1 year
sensingwatershedremote-sensinggroundviz
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