Stella Salta is a Ph.D. candidate at the School of Architecture, National Technical University of Athens (NTUA). Her work explores how artificial intelligence and machine learning can support new ways of thinking and working in architectural design. She holds a Master’s in “Data Science and Machine Learning” from NTUA’s School of Electrical and Computer Engineering (2025), and a Master’s in “Research in Architecture: Design – Space – Culture” from NTUA’s School of Architecture (2020), where she focused on algorithmic and generative design methodologies. She earned her Diploma in Architecture Engineering from the Aristotle University of Thessaloniki as valedictorian in 2018. With a focus on bridging computational methods and architectural knowledge, her work explores emerging paradigms in design automation, spatial reasoning and the creative integration of AI in architectural practice. Her doctoral research investigates how qualitative and experiential spatial properties can be translated into quantifiable metrics and used to train AI models capable of generating architectural floorplan configurations. By combining graph-based machine learning with large language models, she explores how spatial reasoning can emerge both from data and natural language— revealing design as a dynamic interplay between human intuition and machine reasoning.

As a Fulbright Visiting Research Student, Stella will spend six months at the New York Institute of Technology, collaborating with Professor Matias del Campo within the ΑΙ Lab in Architecture and Computational Technologies. There, she will develop and test a pipeline that interprets spatial descriptions in natural language and translates them into generative 3D parametric models, integrating large-scale architectural datasets and configurational analysis. Ηer work seeks to establish frameworks that enhance design agency and enable post-human modes of collaboration between human and machine intelligences, engaging broader debates around computational creativity, architectural intelligence and the shifting boundaries of authorship in design.