Summary
Joe Shannon is a Lead Scientist for Applied Hydrology with a decade of experience at the intersection of forestry, hydrology, and data science, focused on building and evaluating forest carbon baselines. He moved from hands-on forest management and field research into statistical and stochastic modeling to address large-scale uncertainty from invasive species and climate change, then translated that academic rigor into industry applications at NCX and Vibrant Planet. Joe has led CONUS-scale geospatial pipelines and causal inference approaches to benchmark additionality and mitigate adverse selection, combining practical forestry knowledge with production data engineering on AWS. His work is notable for integrating pseudo-experimental methods into counterfactual baseline design—an uncommon blend of causal statistics and ecosystem science. Based in Cranston, RI, he holds a PhD in Forest Science & Data Science and thrives on collaborative problem solving that yields immediate, measurable climate impact.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD, Forest Science & Data Science, Doctor of Philosophy - PhD, Forest Science & Data Science at Michigan Technological University
Masters of Science (MS), Forest Hydrology, Masters of Science (MS), Forest Hydrology at University of Minnesota
Bachelor of Science in Forestry (BSF), Forest Management/Forest Resources Management, Bachelor of Science in Forestry (BSF), Forest Management/Forest Resources Management at University of New Hampshire