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Quan Le is an Assistant Professor in the Strategy Unit at Harvard Business School, with a focus on industrial organization and media economics. His research integrates economic theories with the dynamics of digital platforms, providing insights into how exclusive vertical contracts shape market conditions. Prior to joining HBS, he was a Postdoctoral Fellow at the institution after earning his Ph.D. in Economics from Princeton University. His work includes developing the 'American Stories' dataset, which enhances the accessibility of historical U.S. newspaper content through advanced deep learning techniques. This dataset supports diverse applications, including language model training and multimodal analysis, thus contributing significantly to the fields of economic history and social sciences. Le is also involved in teaching courses that help MBA students strategize competitive advantage in dynamic industries, equipping them with essential analytical skills to navigate complex market environments.
The PhD in Business Administration is the primary doctoral degree encompassing various areas of study including Business Economics, Accounting, and Strategy.