Yang Wang
Principal Economist at Amazon
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolYang Wang is a principal economist specializing in causal inference for the digital economy and advertising, currently leading a startup econ team at Amazon that shapes ad sales strategy. With a PhD in Quantitative Marketing and a decade of experience spanning academia and industry, he blends rigorous empirical methods with applied machine learning, NLP, and network analysis. He previously served as an assistant professor at Temple and UT El Paso and built R&D teams at Cangrade focused on NLP for Fortune 500 HR clients. His work crosses unstructured data, reinforcement learning, and dynamic causal optimization—projects he actively codes and experiments with on GitHub. Known for turning complex causal questions into actionable business insights, he operates at the intersection of theory, scalable analytics, and product-facing impact. Based in Madison, WI, he brings a rare mix of academic depth and hands-on engineering leadership to advertising economics.
10 years of coding experience
13 years of employment as a software developer
PhD, Quantitative Marketing, PhD, Quantitative Marketing at Rice UniversityM.B.A, Finance, M.B.A, Finance at University of Nevada-Las VegasClark High
Chinese, English
Github Skills (53)
controlling8
double8
leaflet7
causal-inference7
causality7
python-data7
microsoft-research7
orthogonal7
causal7
maps6
gis6
sdk6
decision-making6
alice6
machine-learning6
Programming languages (3)
Github contributions (5)
GIAIBA/NLP_Example
Apr 2021 - Apr 2021
Contributions:8 commits, 6 pushes in 2 days
yangyang2000/Text-Analytics-Module
Nov 2017 - Mar 2018
Contributions:8 pushes, 1 branch in 3 months
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