Joe Shannon - Lead Scientist For Applied Hydrology at Vibrant Planet

Joe Shannon

Lead Scientist For Applied Hydrology at Vibrant Planet

Cranston, Rhode Island, United States

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Summary

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Senior

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Top School

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

Github Skills (30)

r-package9

weather-data8

dataframes7

poster6

weather6

dataframe6

bibtex4

css4

rstudio4

geospatial4

raster4

hydrology4

spatial4

gis3

Programming languages (3)

RC++HTML

Github contributions (5)

jpshanno/ingestr

Jun 2018 - Sep 2020

ingestr: An R package for reading environmental data from raw formats into dataframes.

Contributions:95 commits, 3 PRs, 50 pushes in 2 years 3 months

dataframedataframesrr-package

jpshanno/Event_Based_Sampling

Sep 2018 - Jul 2019

Contributions:18 commits, 8 pushes, 1 branch in 10 months

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