معرفی
Jack Lee is an Adjunct Assistant Professor of Marketing at the Leonard N. Stern School of Business, New York University (NYU), where he has been teaching since 2020. He is affiliated with the Department of Marketing and teaches courses including Data Driven Decision Making, Introduction to Marketing, Marketing Principles (Fashion & Luxury), and Marketing Research.
Education:
- PhD in Marketing, NYU Stern School of Business
- MPhil in Marketing, NYU Stern School of Business
- BS in Management Science, MIT Sloan School of Business
- BS in Electrical Engineering, MIT
Jack Lee's research and professional expertise lie at the intersection of marketing science, consumer insights, and strategic analytics. With a strong foundation in both engineering and management, he applies a rigorous, data-driven approach to solving complex marketing challenges across industries such as CPG, luxury, retail, financial services, life sciences, telecommunications, and travel & hospitality. His teaching emphasizes practical, actionable strategies grounded in academic rigor.
His published research appears in premier marketing journals such as the Journal of Marketing Research and Journal of Retailing, focusing on advanced marketing analytics and consumer behavior modeling. These works reflect a consistent trend toward integrating quantitative methods with strategic marketing decision-making.
Scientific Awards:
- No specific awards listed in the provided text.
While no formal PhD or Master’s students are listed, Professor Lee actively mentors students through his teaching and industry engagement. His extensive professional experience includes leadership roles in strategy and analytics consulting at Booz & Company (PwC) and Vivaldi Partners, as well as senior client-side roles in consumer insights at The Estee Lauder Companies and TIAA-CREF. He brings real-world business challenges into the classroom, enriching the educational experience with practical applications. There is no mention of specific grants, but his applied research suggests industry-funded or collaborative projects.
There is no mention of a formal lab or research team in the provided text. However, his work appears to be highly collaborative, drawing from both academic and industry partnerships. His interdisciplinary background enables him to bridge technical analytics with business strategy, contributing to a holistic approach in both teaching and consulting.
