Raphaël Baur

Raphaël Baur is a Lecturer at the Department of Humanities, Social and Political Sciences at ETH Zürich, with affiliations to the ETH AI Center and OAT X. His research focuses on integrating cognitive science and reinforcement learning into architectural design, emphasizing evidence-based methodologies and educational tools. He develops frameworks for human-centered design and investigates how feedback mechanisms can enhance AI-driven decision-making in architecture.

His work spans interdisciplinary areas, including the application of machine learning to architectural learnability, the design of educational tools like MazeMastery for high school curricula, and the creation of toolkits such as DesignMind to bridge cognitive science and spatial design.

Key publications highlight trends in reinforcement learning with human feedback, evidence-based architectural pedagogy, and the cognitive foundations of architectural practice. Baur’s contributions aim to advance both theoretical and applied aspects of design through computational and behavioral insights.

Labs/Teams: Active member of the ETH AI Center and OAT X, collaborating on projects at the intersection of AI, education, and spatial design.