Sebastian Gabel

Sebastian Gabel is an Assistant Professor at the Rotterdam School of Management, Erasmus University and a Scientific Advisor at the Schwarz Group. His research bridges quantitative marketing, machine learning, and econometrics, focusing on developing scalable methods for consumer behavior modeling in retail contexts.

• Teaching: Courses on AI-driven marketing strategy, big data analytics, and machine learning applications.
• Research Focus: Deep learning for personalization, recommender systems, pricing, and assortment optimization.

His industry collaborations with leading retailers and marketing solution providers have led to revenue growth through automated personalization systems. Notable awards include the 2017 EMAC Best Paper Based on Doctoral Dissertation Award (Finalist) and the 2022 Frank M. Bass Dissertation Paper Award (Finalist). His work leverages machine learning to transform raw retail data into actionable insights, particularly through frameworks like Product2Vec and P2V-MAP, which map market structures and optimize store layouts.