Wayne Wang
Data Scientist - Research
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolWayne Wang is a data scientist and applied researcher with a PhD in Statistics and over a decade of experience applying causal inference, experimental design, and high-dimensional/spatio-temporal methods to real-world product problems. Currently at Google focusing on YouTube Ads relevance optimization and measurement, he blends rigorous research with production-minded engineering to deliver measurable business impact. His background includes exascale forecasting and distributed PCA work at Los Alamos, reflecting an ability to scale statistical methods to large, distributed systems. Comfortable translating complex analytics for product managers and engineers, he routinely drives cross-functional projects from theory to deployable solutions.
11 years of coding experience
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of MichiganMaster of Science - MS, Statistics, Master of Science - MS, Statistics at The University of British ColumbiaBachelor of Science - BS, Actuarial Science, Bachelor of Science - BS, Actuarial Science at Simon Fraser University
Github Skills (12)
quantile5
covariance5
inverse5
factorization4
julia3
sparse2
petsc1
sparse-matrix1
linear-algebra1
lapack1
high-performance1
blas1
Programming languages (1)
Github contributions (5)
ywa136/ywa136.github.io
Dec 2020 - Sep 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:126 pushes, 4 branches in 2 years 9 months
templategithub-pages-templatemmistakesmistakesjekyll
ywa136/cv-academic
Dec 2020 - Jul 2024
Build CV using TeX + Biber
Contributions:31 pushes, 10 branches in 3 years 7 months
texbiberlatex
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