Callie Mcnicholas
Senior Machine Learning Scientist at Jupiter Intelligence
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolCallie McNicholas is a Senior Machine Learning Scientist with nine years of experience applying atmospheric science and advanced ML to quantify climate-driven changes in extreme weather. With a Ph.D. in Atmospheric Science from the University of Washington, she blends numerical weather and climate models, statistical methods, and generative modeling to build scalable, client-focused physical risk assessments at Jupiter Intelligence. Her work spans research-grade innovations—such as smartphone pressure-data assimilation and bias-correction at scale—to productionized algorithms deployed in the cloud. Based in Seattle and a dual Irish–U.S. citizen, she is passionate about science communication, teaching, and expanding public participation in climate science. Colleagues rely on her ability to translate complex climate signals into actionable risk metrics for decision makers.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Atmospheric Sciences and Meteorology, Doctor of Philosophy - PhD, Atmospheric Sciences and Meteorology at University of WashingtonBachelor of Science - BS, Meteorology, 3.97, Bachelor of Science - BS, Meteorology, 3.97 at University of Oklahoma
English
Github Skills (3)
kerbal-space10
holoviews2
holoviz2
Programming languages (1)
Github contributions (5)
cmac994/aeolus
Sep 2016 - Sep 2020
Contributions:20 pushes, 1 branch in 4 years
cmac994/meteo-krig
Sep 2020 - May 2022
Contributions:169 pushes, 1 branch in 1 year 8 months
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