Teams at National Laboratory of the Rockies

Supports geospatial energy modeling and analysis through data preparation, processing, validation, cartography, literature reviews, and scientific programming. Uses Python and geospatial libraries to analyze and visualize data, develops analytical solutions for energy deployment and siting, and works with open-source geospatial tools, distributed computing environments, HPC systems, and cloud platforms.

Conduct biorefinery process modeling and sustainability analyses focused on lignin valorization into fuels and chemicals. Use Aspen Plus and other modeling tools, perform statistical sensitivity or uncertainty analyses, integrate findings with experimental R&D, communicate scientific results, publish peer-reviewed research, and collaborate with multidisciplinary teams of engineers, chemists, and biologists.

Conduct large-scale transmission and distribution power-flow, dynamics, and contingency analyses; build and validate grid models; develop multi-model frameworks and analytical tools; and support utility planning and DER/IBR integration. Lead partner engagements, technical working groups, trainings, proposals, and research collaborations. Develop software automation, contribute to open-source tools, present findings, and publish technical materials while collaborating with interdisciplinary teams.