author
Tong Wang
Works at the intersection of machine learning and business, building interpretable models that can make sense of both data and language. Her research aims to turn complex AI methods into tools people can actually understand and use.
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by Tong Wang
About the author
An assistant professor of marketing at the Yale School of Management, she studies how machine learning can be applied to real business problems. Her work focuses on interpretable AI, with an emphasis on models that can analyze structured data as well as unstructured material like text and images.
Her research has appeared in major venues across machine learning and related fields, and her academic profiles highlight interests that span interpretable machine learning, reinforcement learning, and quantitative marketing. Across these areas, a clear theme runs through her work: making advanced models more transparent and practical.
Alongside her Yale faculty profile, her personal academic site presents her work as centered on designing new methods that help people better understand what models are doing, not just what they predict. That combination of technical depth and real-world usefulness makes her work especially relevant in a time when AI systems are becoming part of everyday decision-making.