Ayça joined the A/S team in October 2022 as a doctoral researcher, holding the A/T doctoral fellowship. In her research, she focuses on integrating PV systems into buildings using a machine learning-based approach and studying the interaction between BIPV systems and built environments. Her studies aim to analyze various aspects of this interaction, with a particular emphasis on urban climate, outdoor thermal comfort, and BIPV efficiency. She is interested in incorporating building energy modeling, data science, and machine learning techniques to facilitate decision-making in performance-driven building design.

Before joining ETH Zurich, Ayça studied at Middle East Technical University (METU) and Politecnico di Milano, and she obtained both her Bachelor's and Master's degrees in Architecture from METU. She worked as a research assistant on an urban building energy modeling project, where she developed predictive models for assessing building energy and solar performance. Additionally, she contributed to architectural design studios and an environmental design course as a teaching assistant.  

Research /
FCL Global: Powering the City

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

Publications /
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