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Jakub SteinerView profile

Associate Professor

• Industrial Organization
• Macroeconomics
• Decision Theory
• +2 more

Jakub Steiner holds concurrent part-time appointments as Associate Professor at the University of Zurich and Senior Researcher at CERGE-EI in Prague, maintaining active CEPR Research Fellow status since 2013 through significant contributions to economic policy discourse. His research program integrates Industrial Organization, Macroeconomics, and Decision Theory with emerging Health Economics applications, particularly in pandemic response contexts. Steiner employs rigorous theoretical frameworks—specializing in stochastic growth models, risk attitude formation, and market equilibrium analysis under information asymmetry—to address complex economic phenomena through game-theoretic and dynamic programming approaches. Analysis of his recent publication trajectory reveals consistent methodological innovation in bridging micro-founded decision theory with macroeconomic outcomes, exemplified by pandemic mitigation modeling and stochastic growth theory. His work demonstrates increasing interdisciplinary convergence between theoretical economics and urgent policy challenges, with notable emphasis on uncertainty quantification and behavioral responses in crisis scenarios.

Aurélie LemmensView profile

Professor

• Customer Analytics
• Prescriptive Analytics
• Machine Learning
• +4 more

Prof. Aurélie Lemmens is a Full Professor of Customer Analytics at Rotterdam School of Management (RSM), Erasmus University Rotterdam, where she chairs the Department of Marketing Management. She concurrently serves as Academic Director of the Expert Practice on Customer Analytics at the Erasmus Center for Data Analytics. Previously, she held academic positions at Erasmus School of Economics and Tilburg University, and was a visiting scholar at Harvard Business School. She obtained her PhD from K.U. Leuven (Belgium) following an MSc in Business Engineering from Solvay Business School. Her research develops prescriptive analytics methodologies leveraging consumer data for customer-centric decision-making, organized around three core lifecycle stages: (1) customer acquisition and new product introduction, (2) customer development and engagement, and (3) customer retention. Her work extensively employs machine learning and large-scale computing. Prof. Lemmens' publication portfolio demonstrates consistent focus on quantitative marketing, customer analytics, and methodological innovation, with recent work emphasizing personalization algorithms, donor behavior modeling, and churn optimization techniques. Her research consistently bridges theoretical rigor with practical business applications. Awards and honors include: 2012 IJRM Best Paper Award Marie Curie Grant (European Research Council) Veni and Vidi grants (Dutch Science Foundation) ERC Consolidator Grant Finalist Best Teaching Awards (2017, 2019) for Conjoint Analysis course She teaches Customer Analytics (Business Analytics MSc), Customer Centricity (Marketing Management MSc), and Creating Customer Value (Executive MBA). She leads the Expert Practice on Customer Analytics, coordinating industry-academia collaborations in applied data analytics. Additional information is available via her personal website .