Nathan Layman
Data Scientist
Wenatchee, Washington, United States
Summary
👤
Senior🎓
Top SchoolNathan Layman is a data scientist and computational ecologist with nine years of experience applying machine learning, mechanistic models, and individual-based simulations to infectious disease and ecological questions. He has built hybrid Bayesian ML/mechanistic forecasting systems, automated extraction of 4,000+ outbreak events from 100k+ papers with AI/LLM pipelines, and designed version-controlled spatial databases to support zoonotic risk prediction. Proficient in Python, R, and C++, he also implements CNN-based semantic segmentation and NLP workflows and manages cloud deployments (AWS/Ansible) for reproducible science. With a PhD in Biology and a track record spanning academia and nonprofit research, he blends rigorous ecological field experience with production-ready data engineering. Notably, his tooling reduced curation costs tenfold while delivering 95% extraction accuracy, accelerating downstream modeling and decision support.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Arts - BA, Environmental Studies, Bachelor of Arts - BA, Environmental Studies at University of WashingtonDoctor of Philosophy - PhD, Biology, General, Doctor of Philosophy - PhD, Biology, General at Washington State University
Github Skills (77)
database-versioning10
dolt10
database10
static-site-generator10
data-versioning10
github-pages10
tailwindcss10
vscode10
responsive10
jekyll10
jekyll-theme10
markdown9
sql9
mysql9
mariadb9
Programming languages (6)
Github contributions (5)
n8layman/n8layman.github.io
Mar 2020 - Feb 2025
:sparkles: My website
Contributions:5 PRs, 324 pushes, 6 branches in 5 years
simple-websitebeautiful-jekylljekylljekyll-thememinutes
n8layman/ecoextract
Sep 2025 - Jul 2026
Contributions:1 release, 1 review, 9 PRs in 10 months
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