Michelle Kim is a Staff Data Scientist with 11 years of experience applying statistical and machine learning time series techniques to energy and environmental systems. She has built production analytics and revenue-generating algorithms for microgrids and self-powered sensor networks, bridging research-grade rigor with operational scalability. Her background includes leading algorithm development at Everactive and producing actionable insights at Lumin, and she now advances data science at Axiom Cloud. Trained as an atmospheric chemist with PhD-level field campaigns aboard ships and planes, she brings uncommon domain expertise in measurement science to data-driven energy problems. Colleagues rely on her ability to turn noisy sensor data into optimized classifications and decision tools that drive commercial impact.
11 years of coding experience
12 years of employment as a software developer
Ph.D., Earth Science, Ph.D., Earth Science at Scripps Institution of Oceanography
Chemistry, Psychology, Chemistry, Psychology at Wellesley College
M.S., Civil and Environmental Engineering, M.S., Civil and Environmental Engineering at Stanford University
Contributions:28 pushes, 1 branch in 1 year 6 months
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