Xiangwen Wang is a Senior Data Scientist based in Mountain View with a decade of experience applying advanced statistical, machine learning, and computational-physics methods to real-world problems. He holds a PhD in Physics plus MS degrees in Computer Science and Statistics from Virginia Tech, and brings hands-on Hadoop/Spark and large-scale data engineering experience developed both in academia and industry. At Google he drives top-line e-commerce OKR metrics, translating complex behavioral signals into actionable product insights. His academic work on human dynamics and darknet re-identification demonstrates a rare blend of theoretical rigor and practical problem solving across privacy-sensitive, large-scale datasets. Comfortable bridging research and production, he pairs deep algorithmic knowledge with a track record of delivering measurable business impact.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Virginia Tech
Bachelor's Degree Physics, Bachelor's Degree Physics at University of Science and Technology of China
Contributions:2 releases, 8 commits, 7 pushes in 4 years 5 months
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