Dr. Gui Liberali

Professor

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Biography

Gui Liberali is a full professor of Digital Marketing at the Rotterdam School of Management, Erasmus University Rotterdam. He holds a doctorate in marketing and a Bachelor's degree in computer science. His research has been published in prestigious journals including Marketing Science, Management Science, and the International Journal of Marketing Research. As an associate editor of Marketing Science and former area editor of the International Journal of Research in Marketing, Professor Liberali contributes significantly to the academic community. His research interests focus on optimal learning, multi-armed bandits, online advertising, targeting models, AI agents, adaptive experiments, dynamic programming, and reinforcement learning. Gui is actively involved in teaching and has developed courses on topics such as Learning Big Data and Advanced Marketing, illustrating his commitment to student education and the advancement of knowledge in the field of marketing. His professional experience includes various editorial positions and contributions to academic journals.

Research Interests

Experience

Professor

— Present

Rotterdam School of Management, Erasmus University Rotterdam • Rotterdam, Netherlands

Full Professor of Digital Marketing, contributing to research and teaching in the field.

Member Editorial Board

2025-01-01 — 2027-12-31

Marketing Science • Rotterdam, Netherlands

Engaged in editorial work for Marketing Science journal.

Guest Editor

2018-04-01 — 2022-12-31

Management Science • Rotterdam, Netherlands

Oversaw the publication process for guest issues.

Courses

Learning Big Data Advanced Marketing Reinforcement Learning

Requirements for Erasmus University Rotterdam

Master Program
Requirements
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:91
Prerequisites
Bachelor degree in Econometrics, Mathematics, Statistics or Industrial Engineering Advanced Mathematics (Calculus, Linear Algebra) Applied Statistics Econometrics and Time-series analysis
Application Checklist
  • Bachelor diploma or graduation statement
  • Official academic transcript
  • Curriculum Vitae
  • Proof of English proficiency
  • Course descriptions for Mathematics prerequisites
Specialization Notes

Department of Econometrics / MSc Econometrics and Management Science.