Andrew Raim is a research mathematical statistician with nine years of professional experience, currently applying computational and applied statistics at the U.S. Census Bureau. He brings a rare blend of academic rigor—holding a PhD and MS in Statistics and an MS and BS in Computer Science from UMBC—and practical software engineering experience from an earlier career in ad tech. His work focuses on elegant, computationally efficient solutions for large-scale statistical problems, informed by hands-on high-performance computing and teaching experience as a graduate assistant. Based in Baltimore, he combines deep methodological knowledge with production-minded engineering, making him adept at turning complex statistical research into robust, scalable implementations.
Contributions:153 commits, 2 PRs, 98 pushes in 6 years 1 month
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