dr. S (Sebastian) Gabel

Biography

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.

Rotterdam School of Management, Erasmus University

Assistant professor | Department of Marketing Management
Email
gabel@rsm.nl

Work

  • Sebastian Gabel (25 september 2023) - Kickstarter funding for sustainable behaviour research
  • Sebastian Gabel (19 september 2023) - RSM students willing to live more sustainable
  • Ioannis Kampourakis, Lisa Bauer, Sebastian Gabel, Vincenzo Romano, Layal Chaker & Annemijn Jonkman (4 augustus 2023) - Twelve Veni grants awarded to RSM and EUR scientists

  • Sebastian Gabel (2024) - Erasmus Trustfonds Grant (42,500 Euro)
  • Sebastian Gabel (2024) - Convergence Resilient Delta Initiative Seed Grant (326,000 Euro)
  • Sebastian Gabel (2023) - 2023 EMAC–Sheth Foundation Sustainability Research Competition
  • Sebastian Gabel (2023) - NWO Veni (280,000 Euro)
  • Sebastian Gabel (2023) - Convergence Resilient Delta Initiative Kickstarter Grant (30,000 Euro)
  • S (Sebastian) Gabel (2020) - EHI Science Prize 2020 Best Dissertation (10,000 Euro)

Schwarz Gruppe

Start date approval
april 2022
End date approval
maart 2025
Place
NECKARSULM
Description
Research cooperation

IM Research clinic

Level
master
Year Level
master
Year
2024
Course Code
BM-IM-RC

Marketing Strategy in the Age of AI

Level
master
Year Level
master
Year
2024
Course Code
BM-IM16CC

Current Topics in Marketing Research A

Level
PhD
Year Level
PhD
Year
2024
Course Code
BERMASC054

  • Julia Marie Esters

    PhD in Marketing - specialized in Machine Learning and Quantitative Methods
  • Sharon Wei

    Doctoral Research in Marketing, specialized in quantitative methods (marketing analytics, data science, computer science, econometrics)

News regarding dr. S (Sebastian) Gabel

Twaalf Veni-beurzen voor Rotterdamse wetenschappers

Twaalf wetenschappers van Erasmus Universiteit Rotterdam en Erasmus MC krijgen een Veni-financiering van het NWO om hun onderzoeksideeën verder te ontwikkelen.
Zonnige dag op campus Woudestein.

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