Girish Punj is a Professor of Marketing at the University of Connecticut, where he teaches MBA courses in marketing and analytics. He received his M. S. and Ph.D. in Marketing from Carnegie-Mellon University. He is a recognized expert in predictive modeling, machine learning, text analytics, and social network analytics. His teaching style and methods have been featured in an IBM whitepaper on Smart Teaching and in an interview with the editorial director of Information Management. He has participated in the development of an academic curriculum for IBM intended to promote the adoption of marketing analytics courses in graduate business programs.
Girish has published 70 research papers in various marketing journals and conference proceedings. Google Scholar statistics indicate that his research publications have received 6500+ citations overall with an h-index of 26 (26 publications have received at least 20 citations each) and an i10 index of 36 (34 publications have received at least 10 citations each).
His current areas of research include e-commerce, Digital marketing, e-commerce, mobile shopper marketing, consumer decision making in web-based environments, online product reviews and consumer generated data, use of artificial intelligence algorithms in modeling online consumer behavior.