Gene Moo Lee

Gene Moo Lee is an Associate Professor at The University of British Columbia, Sauder School of Business, in the Department of Business Administration. His research focuses on AI in Business, IT Platforms, and Cybersecurity, employing methodologies such as Data Analytics, Machine Learning, and Econometrics. He has published in leading journals including the Journal of Management Information Systems, Decision Support Systems, and Information Systems Research. His work explores topics such as cybersecurity defense, online product reviews, and mobile application cross-promotion. Lee also teaches Business Analytics Programming in the 2025-2026 academic year.

Gene Moo Lee is a researcher at the Sauder School of Business, University of British Columbia, focusing on AI in Business, Business Analytics, and Information Systems. His work explores the integration of AI technologies in business contexts, emphasizing data-driven decision-making and system optimization. Lee's research includes deep learning for social media analysis, topic modeling for industry intelligence, and network formation in location-based social networks. He also investigates the impact of online reviews, deceptive marketing, and security vulnerability awareness on business practices. His publications highlight the application of AI in content creation, spam volume analysis, and customer care call event detection, reflecting a strong emphasis on data analytics and system design.