Anindya Ghose

Anindya Ghose is the Heinz Riehl Chair Professor of Technology and Marketing at New York University’s Leonard N. Stern School of Business, where he holds appointments in the departments of Technology, Operations, and Statistics and Marketing. He directs Stern’s Master of Science in Business Analytics and AI program. His expertise spans Artificial Intelligence, digital platforms, quantitative marketing, business analytics, and technology markets.

Professor Ghose uses economics, machine learning and data science to examine how technology affects consumer behavior, business performance, market structure, competition, and consumer welfare. His research addresses the trade-offs between data privacy and economic benefits, the effectiveness of digital advertising and mobile marketing, and the design of digital platforms. His recent work examines how generative AI affects advertising effectiveness, content creators, and platform markets, alongside applications of large language models to business decision-making. His broader research covers electronic commerce, search and recommendation systems, online reviews, social media, mobile technologies, and healthcare.

Professor Ghose has provided expert testimony in numerous prominent trials and depositions involving antitrust and competition, privacy, intellectual property, copyright, patents, securities, valuation, and merger appraisal. His experience includes the Department of Justice vs. Google adtech antitrust litigation, the Federal Trade Commission vs. Meta antitrust litigation, OpenAI & Apple vs. SpaceXAI antitrust litigation, the Tinder vs. Match valuation litigation, the Verizon–AOL merger appraisal, District of Columbia’s Cambridge Analytica privacy litigation against Facebook, the FTC vs. 1800 contacts antitrust lawsuit, and New Mexico vs. Meta privacy litigation, Rodriguez v. Google privacy case, Csupo et al. vs. Google case, the Yahoo privacy breach matter, Snapchat patent litigation, Copyright Royalty Board proceedings for Apple and many other matters. These engagements draw on his expertise in AI, technology markets, consumer behavior, data valuation, privacy, and economic damages.

His honors recognize both scholarly contributions and practical impact. In 2026, he received the NYU Stern Faculty Impact Award for contributions to businesses, policymakers, and society. He received the inaugural INFORMS Information Systems Society Practical Impact Award in 2020 and its President’s Service Award in 2024. He is the youngest recipient of the society’s Distinguished Fellow Award, an Association for Information Systems Fellow, and the youngest recipient of IIM Calcutta’s Distinguished Alumni Award at the time of his selection in 2022. Earlier recognition includes Poets & Quants’ global list of outstanding business school professors under 40, Thinkers50 recognition, and inclusion among the top 1% of researchers by citation influence in the 2019 Web of Science recognition.

Professor Ghose is the author of TAP: Unlocking the Mobile Economy, which won two 2018 Axiom Business Book Awards, and coauthor of THRIVE: Maximizing Well-Being in the Age of AI, which received the 2025 Axiom Gold Medal in the Artificial Intelligence category. Both books have been translated into multiple languages.

He has published more than 125 papers in scholarly journals and peer-reviewed conferences, and his research has received 29 best paper awards and nominations. He is a recipient of the National Science Foundation’s CAREER Award and research support from organizations including Adobe, Google, Microsoft, and the Marketing Science Institute. He serves as a Department Editor of Management Science.

Professor Ghose has consulted in various capacities for Alibaba, Apple, Berkeley Corporation, CBS, Dataxu, Delhivery, DFS Group, Facebook, Fox Corporation, Google, HR Ratings Mexico, Marico India, Microsoft, NBC Universal, OneVest, OpenAI, Pinterest, Samsung, Showtime, Snapchat, TD Bank, Tinder, Verizon, Yahoo, 1-800-Contacts, and 3TI World, and collaborated with Adobe, Alibaba, China Mobile, Google, IBM, Indiegogo, Iqiyi, Microsoft, Recobell, Shinsegae Korea, Telefonica, Travelocity, Via, Zhihu, and many other leading firms. He serves or has served as an Advisor to start-ups in the US, India, Hong Kong, Netherlands, South Korea, Singapore, and China. He serves on the Board of Directors of LatentView Analytics, previously served on Delhivery’s board, and advises Scale Asia Ventures and BlackHill Fund. He is also a Council Board Member of the All India Gaming Federation.

He teaches digital marketing, business analytics, social media, and technology strategy across degree programs and executive education in the United States, Asia, and Europe. He has been a Visiting Professor at the Wharton School and holds an MS and PhD from Carnegie Mellon University’s Tepper School of Business, an MBA from IIM Calcutta, and an engineering degree from the National Institute of Technology in India.