Summary
Micah Buuck is an applied scientist with over a decade of experience translating physics expertise into production-ready machine learning and software solutions, now focused on geospatial problems. He has a PhD in Physics and a strong track record publishing deep learning computer-vision work with uncertainty quantification for novel physical instruments, including contributions that appeared in the Astrophysical Journal. Micah combines scientific rigor with practical engineering—building C++ and Python codebases, high-performance simulations, interactive dashboards, and noise-reduction algorithms used in world-leading dark matter analyses. He has applied his skills in both national lab research and industry roles at Descartes Labs and EarthDaily Analytics, and he engages in AI-for-good efforts to deploy ML for real-world impact. Based in Mankato, MN, he brings rare domain knowledge bridging detector physics, uncertainty-aware ML, and scalable geospatial analytics.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Washington
Bachelor of Arts - BA Physics Mathematics Statistics, Bachelor of Arts - BA Physics Mathematics Statistics at St. Olaf College
High School Diploma, High School Diploma at Edina Senior High School