Daniel Foster
Analyst at RMS
Albany, California, United States
Summary
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Top SchoolDaniel Foster is an ecologist and data-driven analyst with 8 years of experience applying advanced quantitative methods to forests, fire, and carbon management. Trained at UC Berkeley (M.S. Forestry, PhD work in Environmental Science), he combines expert R and geospatial skills with field leadership—designing monitoring programs, creating novel sampling protocols, and scaling LiDAR-derived products for wildfire risk assessment. His work spans publishing peer-reviewed findings, producing statewide fuel condition maps for regulatory agencies, and translating complex analyses into stakeholder-ready outputs. Currently an Analyst at RMS, he brings a rare blend of hands-on prescribed-fire operations, crew mentorship, and reproducible data workflows that bridge ecology and actionable decision-making.
7 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Environmental Science, Doctor of Philosophy - PhD, Environmental Science at University of California, Berkeley
Github Skills (14)
r-package8
stan7
multilevel6
statistical-models6
bayesian-inference5
bayesian5
ecology5
spatial5
r4
ckan3
mcmc3
raster2
bayesian-statistics2
brms2
Programming languages (2)
Github contributions (5)
danfosterfire/Rfuels
Dec 2018 - Dec 2018
Contributions:28 commits, 6 pushes, 4 comments in 7 days
danfosterfire/TeensySynth
Nov 2024 - Dec 2024
Contributions:22 pushes, 1 branch in 11 days
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