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Yikun Jiang is an Assistant Professor at the Mitch Daniels School of Business at Purdue University. His research focuses on understanding individuals' decisions in digital platforms and how these decisions inform platform strategies. He combines design and implementation of large-scale field experiments, causal inference, structural modeling, and machine learning to analyze unstructured data, aiming to answer pertinent research questions. Yikun holds a Ph.D. from the University of California, Berkeley. Prior to his doctoral studies, he completed his bachelor's degree at McGill University and spent a year as a Ph.D. student in Quantitative Marketing at the University of Toronto's Rotman School of Management.
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