Travis Williams
Researcher III - Geospatial Data Science
Longmont, Colorado, United States
Summary
👤
Senior🎓
Top SchoolTravis Williams is a research geographer and Geospatial Data Science lead with nine years of experience modeling technical potential for renewable energy at the National Renewable Energy Laboratory, where he has been the technical lead on the open-source Renewable Energy Potential Model (reV) since 2020. He combines deep expertise in spatial data management, energy system modeling, HPC-driven computation, and reproducible science, and routinely supports researchers and external clients in deploying large-scale geospatial analyses. Comfortable both writing code and managing datasets, he prefers hands-on work with models and compute resources while also guiding model maintenance, training users, and coordinating with developers. His background in applied research—spanning econometric climate signal detection, drought risk tools, and agricultural field studies—gives him a practical, interdisciplinary perspective on energy and environmental systems. Based in Longmont, Colorado, he is an enthusiastic Linux user and active proponent of free software, which informs his approach to open-source tool stewardship and collaborative research.
10 years of coding experience
2 years of employment as a software developer
Bachelor's of Science, Geography, 3.39, Bachelor's of Science, Geography, 3.39 at Florida State UniversityMaster's degree, Geography, Master's degree, Geography at University of Colorado Boulder
Github Skills (41)
projection10
libray10
command-line-interface9
visualization9
energy9
geospatial9
portal9
earth9
renewable-energy9
modeling9
electrical-engineering9
risk-assessment9
modelica8
data-access8
package8
Programming languages (7)
Github contributions (5)
WilliamsTravis/revruns
Nov 2019 - Oct 2022
Examining a way to streamline the configuration and execution of the Renewable Energy Technical Potential Model (reV).
Contributions:182 commits, 2 PRs, 190 pushes in 2 years 11 months
streamlinerevelectrical-engineeringrenewableenergy
NatLabRockies/reView
May 2022 - May 2026
Data portal for NREL's Renewable Energy Potential Model.
Contributions:5 reviews, 25 PRs, 208 pushes in 4 years
power-systemssolar-powerrenewable-energiesrisk-assessmentdata-portal
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