Ayca (she/her) conducts research at the intersection of architectural and urban design, environmental sustainability, and artificial intelligence. She develops novel computational pipelines using deep learning models for computer vision tasks to contribute to the design of sustainable built environments. Since May 2026, she has been a postdoctoral researcher contributing to the Think Earth–Regenerative Construction project, where she develops machine learning models to predict the hygrothermal properties of earth construction materials.

Ayca holds bachelor’s and master’s degrees in architecture from METU and a doctoral degree from ETH Zurich. During her studies, she was a visiting researcher at Stanford University and an exchange student at the Polytechnic University of Milan. Her graduate research contributed to the Powering the City Module of Future Cities Lab Global and a tool-development project for urban building energy models. Her research interests have been recognized through doctoral and postdoctoral fellowships from the Institute of Technology in Architecture (ITA), Fulbright Program, Swiss National Science Foundation, and Design++. Beyond her research, she has contributed to the teaching of architectural design studios and environmental design courses at both ETH Zurich and METU.

Research /
FCL Global: Powering the City

Teaching /
Computational Methods of Climate and Energy Design
Design for Climate

Publications /
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