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Ankit Sisodia serves as an Assistant Professor of Marketing at Purdue University, specializing in the use of machine learning (ML) and artificial intelligence (AI) in business applications. His research employs disentanglement learning and generative deep learning methodology to analyze unstructured product image data, aiming to automatically quantify human interpretable visual characteristics. These characteristics help in estimating consumer preferences and visual design structure mapping based on product images. Ankit holds a PhD in Quantitative Marketing from Yale School of Management and has gained industry experience while working with prominent companies such as Myntra, 21st Century Fox, and Tata Consultancy Services. He also holds credentials from the Indian Institute of Management, Ahmedabad, and the Indian Institute of Technology, Banaras Hindu University. At Purdue, he teaches a core Marketing Management course.
Purdue University • West Lafayette, IN
Teaches core Marketing Management course and specializes in marketing applications of machine learning and AI.
GRE is not required.