Walter Zhang is an Assistant Professor of Marketing at Wharton who blends machine learning, economics, and quantitative marketing to help firms integrate economic models and statistical methods into data-driven decisions. With 11 years of research and industry experience spanning the University of Chicago and internships at hedge funds and investment banks, he translates rigorous theory into practical insights about downstream customer impact. His work emphasizes how algorithmic choices affect firm outcomes and consumer welfare, bringing an economist’s causal perspective to modern ML problems. Walter’s background includes a PhD from Chicago Booth and a habit of making academic tools and CVs publicly accessible, signaling a commitment to transparency and reproducible research.
11 years of coding experience
1 year of employment as a software developer
High School, High School at Millburn Senior High School
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of Chicago Booth School of Business
Bachelor of Arts - BA, Bachelor of Arts - BA at University of Chicago
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