author
Tong Wang
Explores how machine learning can be more useful, transparent, and responsible in real-world decision-making. Her work sits at the intersection of AI, marketing, and business, with a strong focus on interpretable models for text and images.
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by Tong Wang
About the author
Tong Wang is an Assistant Professor of Marketing at the Yale School of Management and a Faculty Fellow at Yale’s Center for Algorithms, Data, and Market Design. Her research focuses on machine learning for business problems, especially models that are interpretable and can work with both structured data and unstructured material such as text and images.
Before joining Yale, she was an Assistant Professor of Business Analytics at the University of Iowa, where she was awarded promotion and tenure in 2023. Her CV also lists a Ph.D. in Computer Science from MIT, reflecting the technical foundation behind her work.
Across her academic writing and public profiles, a clear theme runs through her career: building AI systems that do more than predict well. She is especially interested in making models easier to understand, audit, and use responsibly, which gives her work a practical appeal for readers curious about the future of data, business, and decision-making.