Chubing Zeng is a Senior Data Scientist (Research) at YouTube with eight years of experience applying advanced biostatistics and machine learning to high-dimensional predictive problems, particularly in human genetics. A PhD candidate in Biostatistics at USC and an MS graduate from Columbia, he blends rigorous academic training with practical consulting experience for clinical trials and observational studies. At YouTube he focuses on Growth & Discovery, translating complex models into measurable product impact at scale. His background in mathematics and deep statistical methodology enables him to bridge domain expertise with production-ready analytics. Colleagues value his ability to move between collaborative clinical settings and fast-paced product environments, bringing both theoretical rigor and clear, operational insight.
8 years of coding experience
Doctor of Philosophy (PhD) Biostatistics, Doctor of Philosophy (PhD) Biostatistics at University of Southern California
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Wuhan University
Master of Science (MS) Biostatistics, Master of Science (MS) Biostatistics at Columbia University
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