Anni Dai

Bauscher, E., Dai, A., Elshani, D. and Wortmann, T., 2024, April. Learning and Generating Spatial Concepts of Modernist Architecture via Graph Machine Learning. In The Association for Computer-Aided Architectural Design Research in Asia (pp.159–168). Available at: https://papers.cumincad.org/data/works/att/caadria2024_128.pdf 

Dai, A., 2022, June. Co-creation: Space Reconfiguration by Architect and Agent Simulation Based Machine Learning. In The International Conference on Computational Design and Robotic Fabrication (pp. 304-313). Singapore: Springer Nature Singapore. 

Archinect., 2022. CO Creation : when machine learning meets architecture. [online] Archinect. Available at: https://archinect.com/features/article/150301745/co-creation-when-machine-learning-meets-architecture

Mueller, B. and Robles, F., 2021. Context Conakry. Institute of Architecture, University of Applied Arts Vienna.

Master Thesis: Learning and Generating Spatial Concepts of Modernist Architecture via Graph Machine Learning

Seminar: Computational Exploration

ITECH Studio: Responsive Morphology

I am a research associate at the Institute for Computational Design and Construction (ICD/CA), International Max Planck Institute for Intelligent Systems (IMPRS-IS), and the Cluster of Excellence Integrative Computational Design and Construction for Architecture (IntCDC). I hold an MArch from Studio Greg Lynn at Universität für angewandte Kunst Wien and a BEng (Hons) in Architecture from Xi'an Jiaotong-Liverpool University (XJTLU).

My professional experience includes two years at Farrells in Shanghai and Hong Kong. I am part of the optimization team for the Grasshopper optimizer, Opossum, and am engaged in the research project "Multi-Objective Optimization and Machine Learning for Climate-Friendly Building Design."

I have taught seminar "Comutational Exploration" on Generative AI and Reinforcement Learning. I have also taught a award-winning master thesis titled "Learning and Generating Spatial Concepts of Modernist Architecture via Graph Machine Learning." 

Currently, I am one of the tutors for the ITECH studio "Responsive Morphology." My responsibility is to guide students in exploring various machine learning models and advanced computational design techniques, and their applications in design and fabrication phases. This includes topics such as reinforcement learning, generative AI, optimization, computer vision, ML-assisted physics simulation, classification, and digital twin systems.