Thomas Otter

Thomas Otter is an Invited Full Professor at NOVA School of Business and Economics (NOVA SBE), part of NOVA University Lisbon, Portugal. He is actively contributing to research in quantitative marketing and consumer choice modeling, with recent publications in top-tier marketing and economics journals.

His research focuses on integrating advanced statistical and machine learning methods into marketing science. Key areas include discrete choice modeling under rational inattention, analysis of product reviews using formative and reflective constructs, and probabilistic machine learning for consumer behavior prediction. These efforts position him at the intersection of marketing, data science, and behavioral economics.

The recent publications indicate a strong trend toward leveraging cutting-edge computational techniques to understand consumer decision-making. His work combines theoretical rigor with practical applications in marketing analytics, particularly in modeling complex consumer preferences and information processing limitations.

• Discrete choice in marketing through the lens of rational inattention (2025)
• Accounting for formative and reflective topics in product review data for better consumer insights (2025)
• Probabilistic machine learning: New frontiers for modeling consumers and their choices (2024)

Thomas Otter has collaborated with leading scholars in marketing and econometrics, including Greg Allenby, Robert Dew, and others, reflecting strong integration into the international research community. There is no public information regarding student advising, research grants, or laboratory affiliations.