Vamsi Kanuri

Vamsi Kanuri is the Viola D. Hank Associate Professor of Marketing at the University of Notre Dame’s Mendoza College of Business. His scholarly pursuits focus on the performance and consumer welfare implications of marketing strategies within the domains of social media, services, and multichannel marketing using econometrics, optimization, and machine learning techniques.

Prof. Kanuri’s research has appeared, or is forthcoming, in leading marketing, information systems, operations, and management journals, including the Journal of Marketing, Journal of Marketing Research, MIS Quarterly, Production and Operations Management, Strategic Management Journal, International Journal of Research in Marketing, and Harvard Business Review, among other journals, books, and popular press outlets.

His research has been recognized with prestigious academic awards from the American Marketing Association, Academy of Marketing Science, INFORMS, and Decision Sciences organizations for its impact on marketing practice. His research has been featured in several popular press outlets, including the NPR, Financial Times, Wall Street Journal, USA Today, Fortune Magazine, Media Post, Subscription Insider, Fox Business, Inc.com, ScienceDaily, Association for Computing Machinery, and Nieman Journalism Lab.

Prof. Kanuri currently serves as an Associate Editor for the Journal of Marketing and Area Editor for the Journal of Academy of Marketing Science. He also serves on the editorial boards of other premier marketing and operations journals.

Prof. Kanuri is also a dedicated teacher. He enjoys teaching Driving Digital Engagement in the undergraduate program and Applied Consumer Science in the Executive MBA program. He has received the James Dincolo Outstanding Undergraduate Marketing Professor and Poets and Quants' 40 under 40 Best MBA Professor awards in recognition of his teaching.

He frequently engages with firms through consulting engagements featuring contemporary marketing issues and the development of statistical models for managerial decision-making.