Chris Vernon
Chief Data Scientist
Richland, Washington, United States
Summary
👤
Senior🎓
Top SchoolChris Vernon is a Chief Data Scientist with nine years of experience driving geospatial research, multi-model integration, and AI/ML strategy at Pacific Northwest National Laboratory. He blends rigorous academic training in geospatial information science with hands-on software engineering to build scalable, graph- and workflow-oriented systems that connect human and Earth systems across scales. Known for mentoring and open-source ecosystem development, he translates complex scientific questions—like multi-sector dynamics and geospatial algorithm design—into operational models and reproducible workflows. His career uniquely spans field-based environmental monitoring to leading cross-disciplinary teams, giving him a practical appreciation for data provenance and the observational constraints that shape model integration. Based in Richland, WA, he focuses on delivering science-relevant solutions that bridge research, software, and policy use-cases.
9 years of coding experience
15 years of employment as a software developer
Master of Geospatial Information Science and Technology, Geospatial Information Sciences and Technology, 4.0, Master of Geospatial Information Science and Technology, Geospatial Information Sciences and Technology, 4.0 at North Carolina State UniversityBachelor of Science (B.S.), Environmental Science: Geology, 3.82, Bachelor of Science (B.S.), Environmental Science: Geology, 3.82 at The University of Tennessee at ChattanoogaGraduate Certificate, Geographic Information Sciences, 3.89, Graduate Certificate, Geographic Information Sciences, 3.89 at Portland State UniversityAssociate of Arts (A.A.), Business Management, 3.93, Associate of Arts (A.A.), Business Management, 3.93 at Western International University
Github Skills (139)
prediction-model10
power-systems10
hydrology10
extensible10
uncertainty10
journal10
water10
change-detection10
hector10
renewable-energy10
detection-model10
simulation10
capacity10
climate-change10
modeling10
Programming languages (12)
Github contributions (5)
IMMM-SFA/msd_uncertainty_ebook
May 2021 - Jun 2022
eBook: Addressing Uncertainty in MultiSector Dynamics Research
Contributions:22 reviews, 109 commits, 37 PRs in 1 year
ebookuncertaintydynamics
IMMM-SFA/wm
Apr 2018 - Apr 2018
Contributions:1 release, 8 commits, 8 pushes in 1 day
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