Luisa Claus

Luisa Claus is a research associate at the Institute for Computational Design and Construction (ICD) at the University of Stuttgart, where she is part of the Computing in Architecture group. Her work focuses on developing machine-learning models that provide rapid feedback on building performance to support data-driven and sustainable design decisions.

Luisa studied Climate Engineering (B.Eng.) at the University of Applied Sciences Stuttgart, gaining expertise in building physics, sustainable materials, and energy-efficient building design. She holds a Master of Science in Integrative Technologies and Architectural Design Research (ITECH) from the University of Stuttgart, where she shifted her focus toward computation in architecture. In parallel, she completed a degree at the Artificial Intelligence Software Academy (AISA), further strengthening her skills in AI and machine learning for design applications.

Before joining ICD, Luisa gained professional experience with Transsolar, initially working on sustainable building design and consulting for architectural projects, and later focusing on computational methods and automation in building performance analysis. She completed her master’s thesis there together with Simon Joller, developing a machine-learning surrogate model for predicting thermal comfort and energy demand across diverse building configurations. This work now forms the foundation for her current research.