About

Mette Ramsgaard Thomsen is a pioneering researcher at the intersection of architecture, digital fabrication, and material science. Her work fundamentally reimagines how buildings can be designed and constructed, focusing on three key areas: adaptive robotic fabrication, machine learning for architectural production, and sustainable bio-based materials. She has made major contributions to robotic incremental sheet forming, developing adaptive fabrication methods that account for material inconsistencies—a critical innovation for moving digital fabrication from lab to construction site. Her highly cited work "Towards machine learning for architectural fabrication in the age of industry 4.0" (32 citations) envisions how AI can streamline complex design-to-production workflows. Thomsen also pushes boundaries with projects like "Imprimer La Lumiere," which explores 3D printing bioluminescent bacteria for architectural applications, and "Robotic Membranes," which investigates textile-based responsive building skins. Her recent work on life-cycle assessment of bio-based digital fabrication (2025) demonstrates her commitment to sustainability. As a professor at the Royal Danish Academy, Thomsen leads the Centre for Information Technology and Architecture (CITA), where she continues to shape the future of computationally-driven, environmentally-conscious architecture.

Research Focus

Key Achievements

7
H-Index
12
Papers
134
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Towards machine learning for architectural fabrication in the age of industry 4.0
32 citations · 2020
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Schools of Visual Arts, The Royal Danish Academy of Fine Arts, Royal Danish Academy – Architecture, Design, Conservation, Centre for Research in Intensive Care, Institute of Construction and Architecture of the Slovak Academy of Sciences

Top Papers

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    A New Material Vision
    3 citations · 2020

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago