Stefan Bucher

Stefan Bucher is an Assistant Professor at the Faculty of Economics, University of Cambridge. His research bridges behavioral economics, cognitive science, and machine learning to address computational approaches for relaxing cognitive constraints in economic decision-making.

• Education: PhD in Economics (New York University), BSc & MSc in Computational Science and Engineering (ETH Zürich), MSc in Economics (London School of Economics and Political Science)

Research Interests: Focus on Behavioral & Information Economics, Cognition, and Machine Learning, with particular emphasis on:

• Algorithmic choice architecture for bounded rationality
• Computational modeling of cognitive costs in decision-making
• Neural coding mechanisms in economic environments
• Information processing under constraints
• AI applications to behavioral economics
• Equity implications of attentional biases in policy contexts

Publication Trends show a focus on cognitive economics, computational modeling, and machine learning intersections. His work explores divisive normalization, base-rate neglect, and algorithmic solutions for constrained decision-making.

Laboratory: The Computational Cognitive Economics Lab develops interdisciplinary frameworks combining behavioral experiments with algorithmic analysis.