Chuanwen Chen is a Staff Data Scientist with 11 years of experience applying causal inference, experiment measurement, and statistical/ML methods to product and growth problems at Waymo and Google. He has led teams focused on metrics, A/B testing, fairness, and user trust, translating rigorous research into production-ready measurement systems. Comfortable across R, Python and several compiled and web languages (Java, C++, Go, JavaScript, PHP), he bridges deep statistical thinking with practical engineering. Trained as a physicist and PhD in statistics, he combines theoretical rigor with hands-on predictive modeling experience dating back to insurance and pharma roles. Based in Sunnyvale, he’s known for reclaiming and maintaining technical presence (as hinted by his recovered GitHub account) while advancing measurement for large-scale, safety-critical systems.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Science and Technology of China
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Rutgers, The State University of New Jersey-New Brunswick
limit the number of connections to upstream for NGINX
Contributions:16 commits, 4 PRs, 23 pushes in 2 years 2 months
nginxdockerconnectionsupstream
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