ME 
Photo by Ewa Maciejewski. ITA.
Hi!
I’m a postdoctoral researcher supported by a Swiss NSF career grant, working at the intersection of visual computing, architectural and urban design, and environmental sustainability at Stanford University. My current research focuses on developing methods to link visual data with building environmental performance using generative AI. Some of my work involves training deep‑learning models for vision tasks, embedding geometric information into image‑editing workflows, and fine-tuning diffusion models to enable controlled alterations in architectural scenes.
I earned my doctoral degree in the Architecture and Building Systems (A/S) team led by Prof. Arno Schlueter at ETH Zurich in April 2026 as an A/T doctoral fellow, a fellowship awarded to up to 2 students each year. During my PhD, I contributed to the POW module of Future Cities Lab Global and was a visiting student researcher at Stanford in Prof. Iro Armeni's Gradient Spaces Lab. 
What motivates me most is pushing the boundaries of different domains to uncover cross‑disciplinary possibilities, including those illustrated in the graph below: 
Beyond research, I am a passionate learner with a wide variety of interests, including fencing, tennis, kinusaiga, traveling, data science, and programming. 

I love exchanging ideas, so if you have questions, recommendations, or feedback, please reach out! :)

If you are interested, feel free to check out my
CV
Recent highlights:
09.2026 – Our work proposing automated facade solar retrofits using feed-forward 3D Reconstruction and generative image editing is accepted at Automation in Construction! [paper coming soon!] [preprint] [code]
09.2026 – I have started my postdoctoral research at the Gradient Spaces Lab led by Prof. Iro Armeni at Stanford!
04.2026 – The book Urban Photovoltaics, an output of the Powering the City module of Future Cities Lab Global, which I was part of, has been published! Check out the chapter I led: How to Design: Emerging Methods and Tools [chapter] [book]
05.2026 – I started working as a postdoctoral researcher on the Think Earth project, in close collaboration with Gustavo Zorzetto and Illias Hischier! Stay tuned for upcoming publications!
04.2026 – I defended my doctoral thesis, and it has been nominated for the ETH Medal by the committee! 
03.2026 – I gave a talk for SUN-MADE, a seminar course from BUK, D-ARCH, ETH Zürich! 
02.2026 – I'm a recipient of the Design++ Postdoctoral Fellowship!
02.2026 – Our work focusing on deep learning for BIPV segmentation on facades and comparison with human annotations across facade designs is published at Building and Environment! [paper] [code] [dataset]
12.2025 – Our work proposing an automated pipeline for facade solar retrofits utilizing 3D reconstruction and diffusion models is under review! [preprint] [code/dataset coming soon]
12.2025 – I'm a recipient of the Swiss National Science Foundation (SNFS) Postdoc.Mobility Fellowship! Find my proposed project featured in the SNSF newsletter: [link]
10.2025 – I will be attending the Climate Change and AI Workshop at NeurIPS to present our work on facade segmentation for solar photovoltaic suitability! [paper] [code] [poster]
09.2025 – I presented our work on deep learning based extraction of window-to-wall ratio and floor levels from street-level imagery at CISBAT. Thanks for the great work and collaboration, Panagiotis Karapiperis! [paper] [code]
06.2025 – I presented our work on characterizing 400 BIPV facade projects at SBE Zurich. Thanks for the great work and collaboration, Kai Marti! [paper] [dataset]
06.2025 – Two articles on AI and UBEM, based on a project I contributed to during my master's studies, have been published. [paper] [paper]
02.2025 – I have been selected to attend and make a poster presentation at CeraWEEK. A blog post about our experiences is published on the ETH Ambassadors. [blog post]
01.2025  – I have started my research visit at the Gradient Spaces Lab led by Prof. Iro Armeni at Stanford.
12.2024  – I was a speaker at Climate Change and AI (CCAI) Seminar Series #4 "Generative Adversarial Networks (GANs) and sequential planning for resilient and sustainable buildings and cities". [video]
12.2024  – The literature review paper is accepted for publication in the Building and Environment. [paper]
09.2024 – I have presented Segment4Solar (v0.1) at the Powering the City Symposium in Singapore. [code]
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