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Ankit Sisodia is an Assistant Professor of Marketing at Purdue University, where he specializes in the application of machine learning (ML) and artificial intelligence (AI) in business contexts. His research focuses on disentanglement learning and generative deep learning methodologies to analyze unstructured product image data, aiming to automatically quantify human-interpretable visual characteristics. These characteristics are crucial for estimating consumer preferences and visual design in market structure mapping based on product images. He holds a PhD in Quantitative Marketing from the Yale School of Management. Ankit's industry experience includes positions at Myntra, 21st Century Fox, and Tata Consultancy Services. Furthermore, he earned credentials from the Indian Institute of Management, Ahmedabad and the Indian Institute of Technology, Banaras Hindu University. In his role at Purdue, he teaches a core Marketing Management course.
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