معرفی
Stephan Seiler is a Professor of Marketing and Economics (by courtesy) at Imperial College Business School. He holds editorial roles as Co-Editor at Quantitative Marketing and Economics and Associate Editor at Management Science, Journal of Marketing Research, and Journal of Industrial Economics. His research focuses on consumer choice behavior, including search patterns, user-generated content analysis, and the application of machine learning to marketing challenges. He earned his PhD from the London School of Economics and previously worked at Stanford and UCLA. Notable awards include the MSI Young Scholar designation and the 2024 Marketing Science Service Award. His work bridges economic theory with empirical marketing, emphasizing causal inference and policy applications such as soda tax impact analyses.
- Education: PhD in Economics, London School of Economics
- Previous Institutions: Stanford University, University of California, Los Angeles (UCLA)
Research Interests:
His work explores consumer decision-making in markets ranging from healthcare (e.g., hospital choice) to consumer goods (e.g., laundry detergents). Key themes include:
- Consumer search behavior and information asymmetry
- Impact of digital platforms on content generation (e.g., Wikipedia, Twitter)
- Econometric modeling of demand and pricing strategies
Awards & Recognition:
- Marketing Science Institute Young Scholar (2020)
- UCLA Faculty Excellence Award (2020)
- Marketing Science Service Award (2024)
Editorial & Academic Contributions: Co-organizes the European Quant Marketing Seminar series and actively reviews for top-tier journals. His 2025 paper on causal inference in pricing demonstrates his leadership in methodological innovation.
