معرفی
Vishal Singh is a Professor of Marketing at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 2007. He also serves as Director of the Stern Center for Research Computing, highlighting his leadership in data-intensive research. His academic journey includes prior experience as an Assistant Professor at the Tepper School of Business, Carnegie Mellon University.
His research centers on data-driven business strategies, with key interests in retail competition, competitive pricing, customer management, database marketing, and empirical industrial organization. More recently, he has extended his work into public health, using large-scale consumer data to derive psychological and behavioral insights. His research has been published in top-tier journals such as Marketing Science, Journal of Marketing Research, and Psychological Science.
The analysis of his recent articles reveals a strong trend toward interdisciplinary research, blending marketing science with behavioral economics, political psychology, and public health. His work often leverages large datasets to uncover patterns in consumer behavior related to ideology, brand trust, and social responsibility. Themes include the impact of political beliefs on purchasing, how brands can benefit from supporting refugees, and the unintended consequences of health interventions.
Professor Singh teaches Data Driven Decision Making to undergraduate and MBA students at NYU Stern. While no formal awards are listed in the provided text, his research has been widely covered in major media outlets including the Wall Street Journal, Forbes, and Huffington Post, indicating significant public and academic impact.
He advises on consumer behavior and public policy, and his collaborative projects suggest active engagement with interdisciplinary teams. His leadership in the Stern Center for Research Computing underscores his role in advancing computational methods in business research. Though specific grants are not mentioned, his large-scale survey and data analysis projects imply substantial research funding and institutional support.
He is actively involved in research initiatives that connect business strategy with societal challenges, such as refugee integration and public health. His work exemplifies the growing role of empirical, data-centric research in shaping both corporate and public policy.
