Dr. S (Sebastian) Gabel

Sebastian Gabel
Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Member ERIM
Field: Marketing
Affiliated since 2022

I am an assistant professor at the Rotterdam School of Management. My research is located at the intersection of quantitative marketing, machine learning and econometrics. I develop and validate new machine learning methods for modeling the behavior of individual customers. My current projects focus on methodological research in Deep Learning that can be applied to promotion personalization, recommender systems, pricing, and assortment optimization in large-scale retailing settings. In my industry work, I collaborate with leading marketing solution providers and grocery retailers to design and implement advanced machine learning systems for scalable and automated marketing personalization. These marketing solutions have helped retailers to increase their revenue, return on advertising spend, and conversion rates.

For more information, please visit www.sebastiangabel.com.

Publications

  • Academic (1)
    • Schrage, R., Kenning, P., Guhl, D., & Gabel, S. (2021). Price Personalisation Technology in Retail Stores: Examining the Role of Users' Trust. In International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global, Hyderabad, India, December 13-16, 2020 Article 1900 Association for Information Systems. https://aisel.aisnet.org/icis2020/implement_adopt/implement_adopt/7

PhD in Marketing - specialized in Machine Learning and Quantitative Methods
  • Role: Co-promotor
  • PhD Candidate: Julia Marie Esters
  • Time frame: 2024 -
Doctoral Research in Marketing, specialized in quantitative methods (marketing analytics, data science, computer science, econometrics)
  • Role: Co-promotor
  • PhD Candidate: Sharon Wei
  • Time frame: 2023 -

Address

Visiting address

Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands