ME
Hi!
I’m a PhD student working at the intersection of architectural and urban design, environmental sustainability, and artificial intelligence. My current research focuses on developing novel pipelines for analyzing and editing building‑façade images. I leverage deep‑learning models for vision tasks, embed geometric information into image‑editing workflows, and fine‑tune diffusion models to enable controlled alterations in architectural scenes.
I joined the Architecture and Building Systems (A/S) team led by Prof. Arno Schlueter at ETH Zurich in October 2022 as a doctoral researcher with the A/T doctoral fellowship, which is awarded to up to only 3 students every year. Currently, I am a visiting student researcher at Stanford in Prof. Iro Armeni's Gradient Spaces Lab.
What motivates me most is combining seemingly disparate 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, ceramics, traveling, origami, data science, and programming.
I love exchanging ideas, so if you have questions, recommendations, or feedback, please reach out! :)
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
Recent highlights:
02.2025 – I have been selected to attend and make a poster presentation at CeraWEEK.
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. [github]
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