Colin Grudzien is a Senior Data Assimilation Scientist with 11 years of experience building Bayesian and ensemble-based DA systems for atmospheric and oceanographic forecasting. He blends rigorous applied-math training (PhD in Applied Mathematics) with hands-on software development to deliver near-real-time prediction tools for extreme weather and coupled atmosphere-ocean-wave forecasting. His work spans academia and industry—from developing operational AR prediction at Scripps to deploying coupled DA systems for Sofar Ocean—while emphasizing uncertainty quantification and scalable sequential inference. Known for connecting theory and code, he publishes preprints and shares reproducible code and visualizations on his website, reflecting a commitment to open science and operational impact.
11 years of coding experience
8 years of employment as a software developer
Bachelor's of Science Magna Cum Laude, Mathematics and History, Bachelor's of Science Magna Cum Laude, Mathematics and History at University of Oregon
Lane Community College
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of North Carolina at Chapel Hill
Contributions:4 PRs, 151 pushes, 2 branches in 1 year 1 month
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Colin Grudzien - Senior Data Assimilation Scientist