Laura Marsillo

Laura Marsillo is a research associate and a doctoral candidate at the Institute for Computational Design and Construction (ICD/ CA) at the University of Stuttgart.

She holds a Master’s degree in Architecture from the University of Naples and a Postgraduate Diploma in Artificial Intelligence in Architecture as a part of the Master's Program in Advanced Computation for Architecture & Design at the Institute for Advanced Architecture of Catalonia (IAAC) in Barcellona. Furthermore, she graduated with distinction from the M.Sc. Program in Integrative Technologies and Architectural Design Research (ITECH) at the University of Stuttgart with the thesis: Reclaimed Design, An availability-oriented design methodology for reclaimed lumber.

Before joining ICD, Laura worked between academia and practice. She worked as an assistant lecturer and adjunct professor at the University of Naples and contributed to several research projects focused on advanced geometry, computational design, and artificial intelligence applied to architecture as well as she is also a co-founder of Marsillo Architetti in Italy, where she gained architectural experience with national and international contests, and in the construction field.

In her ITECH master’s thesis, together with Clara Blum and Gonzalo Muñoz Guerrero, the project aimed at expanding design possibilities within upcycling processes by developing a computational and fabrication framework for reclaimed lumber. The main goal is to inform and guide the structural design process from material properties by developing a predictive machine learning model and an equilibrium search design.

Currently, she is part of the AI and regenerative material group in the Department of Computing in Architecture, she is involved in the EIC Pathfinder Challenge RAW: Computation for a New Age of Resource AWare Architecture project, where she will be focusing on developing an open design model and a semantic data model that provides architects means to design with the variability and uncertainties of the real resource streams.