Alex Burky is an Analytical Programmer and Princeton Geophysics PhD who builds robust software for geospatial data processing, analysis, and visualization using Python, SQL, and MATLAB. With nine years of experience spanning graduate research and industry work at Tetra Tech, he applies quantitative rigor from seismology to solve big-data geospatial problems. He blends physics and machine learning sensibilities to extract insight from complex spatial datasets and automate reproducible workflows. Based in Seattle, he is comfortable moving projects from research prototypes to production-ready code and enjoys learning new tools and techniques. An under-the-radar strength is his ability to translate advanced geophysical methods into practical software that scales for operational use.
9 years of coding experience
7 years of employment as a software developer
University of California, San Diego
Doctor of Philosophy - PhD, Geophysics and Seismology, Doctor of Philosophy - PhD, Geophysics and Seismology at Princeton University
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