Luke Gloege is an Associate Research Scientist and computational climate scientist with nine years of experience applying numerical models and machine learning to the ocean carbon cycle. He currently leads data and scientific computing across Yale’s Center for Natural Carbon Capture, having recently modeled ocean alkalinity enhancement with Earth System Models and ML emulators during a postdoc at Yale. His background spans academia, NASA, and climate-focused engineering at Open Earth Foundation, blending rigorous PhD-level Earth system expertise with hands-on data engineering and deployment. Luke pairs strong quantitative training in math, physics, and atmospheric/oceanic sciences with practical experience translating complex model output into tools for climate intervention research. He is based in New Haven and known for bridging high-fidelity simulation and scalable ML surrogates to accelerate actionable carbon removal solutions.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Atmospheric and Oceanic Sciences, Master's degree, Atmospheric and Oceanic Sciences at University of Wisconsin-Madison
Doctor of Philosophy - PhD, Earth and Environmental Sciences, Doctor of Philosophy - PhD, Earth and Environmental Sciences at Columbia University in the City of New York
Master's degree, Water Resources Science, Master's degree, Water Resources Science at University of Minnesota Duluth
Contributions:10 pushes, 1 branch, 1 comment in 2 years 6 months
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