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Anindya Ghose is a Professor of Information, Operations and Management Sciences and a Professor of Marketing at New York University's Leonard N. Stern School of Business. He is the co-Director of the Center for Business Analytics at NYU Stern, and the co-Chair of the NYU-AIG Partnership on Innovation for Global Resilience . He is the Robert L. & Dale Atkins Rosen Faculty Fellow and a Daniel P. Paduano Fellow of Business Ethics at NYU Stern. He has been a Visiting Associate Professor at the Wharton School of Business. He also serves as the main Scientific Advisor to 3TI China . He was selected by Business Week as one of the "Top 40 Professors Under 40 Worldwide" and by Analytics Week as one the "Top 200 Thought Leaders in Big Data and Business Analytics". His progress from assistant to full professor at NYU Stern was one of the fastest in the history of Stern School as well as one of the fastest in the entire Information Systems and Marketing academic communities.

He has consulted in various capacities for Apple, AMD, Berkeley Corporation, Dataxu, Facebook, Samsung, and 3TI China, amongst many others and his research has been supported by organizations that include Alibaba, China Mobile, Google, Kauffman Foundation, Microsoft, Recobell, and Travelocity amongst many others.

His research analyzes the economic consequences of the Internet on industries and markets transformed by its shared technology infrastructure. He is an expert in quantifying the economic value from user-generated content in spaces mediated by social media; modeling and estimating the monetization of content through search engine advertising; modeling consumer behavior in mobile Internet based social networks; examining the drivers of crowdfunding, and measuring the welfare impact of the Internet and electronic markets. He has worked on product reviews, reputation and rating systems, sponsored search advertising, mobile commerce, mobile apps, mobile ads, crowdfunding, and online markets. He frequently works with and consults for leading firms in the information technology, retail, financial services, telecommunications, and travel industries on projects related to internet marketing, social media analytics, mobile marketing and digital advertising analytics. He also plays a senior advisory role to several start-ups in the Internet space. He has been interviewed and his research has been profiled numerous times in the BBC, Bloomberg TV, New York Times, Financial Times, Forbes, NBC, Xinhua, Time, LA Times, Reuters, Washington Post, New York Daily, National Public Radio, Wall Street Journal, MSNBC, CNBC, China Daily, Knowledge@Wharton, and elsewhere. He teaches courses on social media, digital marketing, business analytics and IT strategy at the undergraduate, MBA, EMBA, MSBA, and Executive Education level in various parts of the world including the US, India, and South Korea.

His work has been published in leading journals that include IEEE Transactions on Knowledge and Data Engineering, Information Systems Research, Journal of Economics and Management Strategy, Journal of Management Information Systems, MIS Quarterly, Management Science, Marketing Science, Marketing Letters, and Statistical Science. His research has received 10 best paper awards and nominations including the best published paper award runner-up for Information Systems Research in 2006, best paper nominations at the 2004 and 2007 International Conference on Information Systems, the 2005 Hawaii International Conference on Systems Sciences, best track paper award in ICIS 2007, a best paper nomination in WITS 2008, the best paper award in the 2011 International World Wide Web Conference, the best paper award at the 2011 Workshop on Health IT and Economics and the best theme paper award at ICIS 2012, and the best track paper and best overall conference paper award at the 2014 American Marketing Association conference. In 2007, he received the prestigious NSF CAREER Award from the National Science Foundation for his research that quantifies the effect of user-generated content in information exchanges on the Internet. He is also a winner of a 2005 ACM Doctoral Dissertation Award, a 2006 Microsoft Live Labs Award, a 2006 NYU Research Challenge Fund award, a 2007 Microsoft Virtual Earth Award, a 2007 Marketing Science Institute grant, several NET Institute grants from 2005-2009, several MSI-WIMI grants from 2007-2010, a 2010 Google-WPP Marketing Research Award and two Google Faculty Awards in 2011 and 2013, respectively. In 2009, he was co-awarded a $2.12 million grant from the NSF based on the Federal Cyber Service: Scholarship For Service (SFS) program for research on information security and privacy issues in user-generated content and social media platforms on the Internet. In 2010, he was co-awarded a $2.9 million grant from the NSF's prestigious and competitive IGERT program for research on privacy issues in social media platforms on the Internet. He is a Marketing Science Institute Young Scholar.

He is on the Research Council of the Wharton Customer Analytics Institute, a faculty affiliate with the Marketing Science Institute and the Sloan Center for Internet Retailing at the University of California, Riverside. He serves as an Associate Editor of Management Science and a Senior Editor of Information Systems Research. Before joining NYU Stern, Dr. Ghose worked in GlaxoSmithKline, as a Product Manager in HCL-Hewlett Packard, and as a Senior E-Business Consultant with IBM. He has a B. Tech in Engineering from the Regional Engineering College (NIT) in Jalandhar, and an M.B.A in Finance, Marketing and Systems from the Indian Institute of Management, Calcutta. He received his M.S. and Ph.D. from Carnegie Mellon University's Tepper School of Business.