PNNL

Lexie’s research focuses on adapting, deploying, and improving measurement technology and datasets to support the Pacific Northwest National Laboratory's wind energy and Atmospheric Radiation Measurement (ARM) user facility field campaigns. Lexie’s recent work has focused on using AI/ML models to improve ARM’s thermodynamic cloud phase value added product. Other work leverages her skills in science communication as a subject matter expert and technical writer for projects in the energy, environment, and national security research areas. Lexie jointly organizes and teaches an atmospheric instrumentation course at the University of Washington.

• Atmospheric Monitoring
• Cloud and Precipitation
• Lightning
• Machine Learning Application to Domain Datasets

• Proficient with python and jupyter notebooks
• Campbell Scientific CR Basic
• Instrument deployment, field campaign logistics, data pipeline and communication

• University of Washington, Atmospheric Sciences, MS
• University of Chicago, Geophysical Sciences, BS
• CFR Part 107, remote pilot certificate

• American Geophysical Union

• Journal of Environmental Science: Processes & Impacts selected top 10 paper of 2019
• PNNL Exceptional Contributions Award [2021]
• PNNL Outstanding Performance Award [2024, 2023]
• PNNL Bestie “Above and Beyond” [2024, 2022, 2021]

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