Clifford Anderson-bergman is a Staff Data Scientist with 11 years of experience building production analytics and research-grade statistical tools across industry and national labs. He has advanced work in discovery systems and live-streaming recommendation at YouTube and now supports large-scale ML products at Google, drawing on a PhD in Statistics from UC Irvine. Clifford’s background spans methodological research—interval-censored survival analysis, DAG-based modeling software, custom MCMC and EM implementations—and practical product impact, bridging robust statistical inference with scalable engineering. He’s an active R developer (creator of the icenReg package and additional R projects on GitHub), bringing uncommon depth in both C++/R software and applied discovery systems. Based in Seattle, he combines academic rigor with product-focused execution to translate complex statistical problems into deployable solutions.
Contributions:99 commits, 4 PRs, 84 pushes in 7 months
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