Research Team

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Gal Guz

About

Gal Guz is an architecture student, UX/UI designer, and alumnus of AAIRL. His work combines architectural design, interface design, and software development for complex research systems.

At AAIRL, Gal contributed to projects on AI-supported architectural evaluation and urban planning decision support. His work included interface design for systems that predict social impacts of urban renewal and research on whether AI tools can approximate human responses to built spaces.

Gal’s design practice spans user requirements, operational concept development, prototyping, user testing, design systems, and development handoff. He works primarily with the React ecosystem and 3D web technologies such as Three.js.

Papers

2025 Publication

Quantifying Architectural Experience using VLMs: Does AI Dream of Rendered Spaces?

Gal Guz, Nikolas Martelaro, Gerhard Schubert, Jonathan Dortheimer
  • Venue CAAD Futures 2025
  • AI-Assisted Design
  • Synthetic Humans
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Are you passionate about improving the design of cities?

We welcome applications from researchers, designers, and practitioners from diverse disciplinary backgrounds. If you are interested in contributing to research at the intersection of AI, design, and urban studies, we encourage you to apply and join our team.

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