Yaohui Zeng is a Senior Data Scientist in Mountain View with 11 years of experience applying high-dimensional statistical learning, sparse models, and scalable computing to real-world problems across autonomous driving, biostatistics, and operations research. At Waymo and Google he translated complex data and probabilistic models into production-ready analytics for safety and reliability, building on a PhD in Biostatistics and deep expertise in Bayesian inference, PK/PD modeling, and mixed-effects models. He has a track record of engineering efficient tools—authoring R packages like biglasso for out-of-core lasso fitting and grpregOverlap—and has demonstrated the ability to analyze 30+ GB genomic datasets on modest hardware. His background spans programmatic breadth (R, RStan, Python, C/C++, SAS, Java) and practical optimization techniques that produced measurable energy and cost savings in prior academic projects. Yaohui combines rigorous methodological research with hands-on software development and large-scale simulation design, uniquely positioning him to bridge statistical theory and production data systems. Outside core roles, he’s contributed open-source tools and reproducible Bayesian workflows that streamline model-driven decision making.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Industrial Engineering, Bachelor of Engineering (B.Eng.) Industrial Engineering at Huazhong University of Science and Technology
Doctor of Philosophy (Ph.D.) Biostatistics, Doctor of Philosophy (Ph.D.) Biostatistics at University of Iowa
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