"Deep Architectural Form" with FREDERICK CHANDO KIM

Frederick Chando Kim is an architect, researcher, and educator based in Singapore, serving as an Assistant Professor in Computational Design at the Department of Architecture in the College of Design and Engineering, National University of Singapore. His research focuses on the generative and analytical possibilities of machine learning in architectural form. Frederick pursued his doctorate at the Media x Design Lab at EPFL, where his thesis was nominated for the EPFL Research and City of Lausanne prizes. He previously taught at the School of Architecture and Computer Science at EPFL and was a Junior Faculty member at ETH Zürich. He has conducted workshops at ETH Singapore, SUPSI in Mendrisio, and D-lab at Kyoto Institute of Technology.

Frederick holds a Master of Architecture from Harvard GSD and a Bachelor of Science in Art and Design from MIT. He co-leads Creative Data Critical Design with Mikhael Johanes, exploring innovative ways of using data for architectural and urban design approaches. His professional experience includes work with Convergeo in Lausanne, AGPS Architecture in Zürich/Los Angeles, Safdie Architects in Cambridge, Massachusetts, SOM San Francisco, and Gensler Los Angeles. He co-curated the “Artificial Architecture” exhibition and symposium at EPFL Pavilions. His work on Artificial Swissness "Design Brain," was featured at the Seoul Biennale of Architecture and Urbanism. His collaborative project “Alpine Shelter Skuta” in the Slovenian Alps earned an AIA New England Design Honor Award and a nomination for the EU Mies Award. He co-authored the journal paper “On GANs, NLPs and Architecture,” which won the ACSA Best Article Award. He was also a recipient of the Young CAADRIA Award.

PRESENTATION TOPIC:
Deep Architectural Form

SOCIALS:
Instagram: @fredkimu (main)
@cdcd.ch @mxd_epfl @nus.doa

WEB
cdcd.ch

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