Immanuel Koh



Singapore University of Technology and Design



Immanuel Koh is an Assistant Professor in both the pillars of Architecture and Sustainable Design (ASD) and Design and Artificial Intelligence (DAI) at the Singapore University of Technology and Design (SUTD), where he teaches and conducts research on the creative use of deep learning for architectural and urban designs. Currently, he directs the research laboratory Artificial Architecture in designing and developing new bespoke architectures of artificial intelligence learning models to solve complex design problems facing the built environment.

Prior to joining SUTD, he was based at École polytechnique fédérale de Lausanne (EPFL) in Switzerland, doing transdisciplinary research work between the School of Computer Sciences and the Institute of Architecture. His doctoral studies, which was nominated for the EPFL Best Thesis Prize, interrogated the epistemological and formal basis of architecture, by reformulating a new design theory through the conceptual and algorithmic lens of probabilistic sampling in machine learning.

Since graduating from the Architectural Association (AA) London, he has taught at the AA, Royal College of Art (London), Tsinghua University (Beijing), Strelka (Moscow), Angewandte (Vienna), DIA (Bauhaus Dessau), Harvard GSD, UCL Bartlett and many others. His design work has been exhibited internationally, such as at London’s Victoria and Albert Museum, Shanghai’s 3D Printing Museum and Taipei’s Tittot Glass Art Museum; and published widely, such as in Architectural Design (AD) and Design Computing and Cognition. Immanuel has also practiced as an architect at Zaha Hadid Architects (London), as a programmer at ARUP with Relational Urbanism (London), and as a creative coder at Convergeo (Lausanne) and anOtherArchitect (Berlin).


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