Song Yao (姚松)

Associate Professor of Marketing, Washington University in St. Louis

Principal Economist, Amazon Core AI

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PhD (Business Administration), Duke University, 2009

MA (Economics), UCLA , 2004

BA (Economics), Renmin University of China, 1999

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Official Faculty Profile: Olin Faculty Page


I am an economist working at the intersection between economics and marketing. I am a Principal Economist of Amazon's Core AI group and an Associate Professor of Marketing at Olin Business School, Washington University in St. Louis. My research interests include advertising, pricing, retailing, and competitive strategy. I explore these topics by applying methods of empirical industrial organization, econometrics, and machine learning. I have won the Paul Green Best Paper Award (2012), the John Howard Dissertation Award (2009), and the AMA-EBSCO-RRBM Award (2023), all of which are sponsored by the American Marketing Association. I was the finalist for the INFORMS Frank Bass Outstanding Dissertation Award in 2011 and 2012, the John Little Best Paper Award in 2009 and 2011, the Long Term Impact Award in 2017, the Dick Wittink Prize in 2018, and the Paul Green Best Paper Award in 2021. I was also selected by the Marketing Science Institute as an MSI Young Scholar of 2017 and MSI Scholar of 2022.

Prior to joining Olin, I taught “Digital/Internet Marketing,” “Customer Analytics,” and “Marketing Management” at the University of Minnesota (Carlson), Northwestern University (Kellogg), and Duke University (Fuqua). 

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