Assistant Professor at University of Wisconsin-Madison
Madison, Wisconsin, United States
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Fraser King is an Assistant Professor and machine learning-focused remote sensing scientist with a PhD in atmospheric sciences from the University of Waterloo and roughly a decade of interdisciplinary experience. He specializes in Arctic snowfall estimation, deep learning model interpretability, and bias-correction of climate model variables, work that led to published, operationalized models during an AI research internship. Fraser combines academic research with practical engineering, having built production-ready ML pipelines and parallelized models at Aquanty and contributed to satellite-derived cartography through his company MapsByFraser. Before academia he spent years as a full-stack and iOS developer in finance and education, shipping secure mobile features (including AES256-based encryption and TouchID integration) and reusable web components. Now based in Madison and recently appointed at UW–Madison after postdoctoral and research fellow roles, he brings both rigorous scientific method and product-minded software craftsmanship to climate data problems. An unconventional thread through his career is blending archival cartography with satellite topography to reveal historical landscapes, reflecting a creative bent beyond typical ML research.
10 years of coding experience
5 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 Waterloo
Contributions:10 pushes, 1 branch in 3 years 5 months
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Fraser King - Assistant Professor at University of Wisconsin-Madison