Dr. Dan Luo is an architect with strong computer science background. She has a Ph.D in digital design and fabrication from Tsinghua University School of Architecture ( 2019), a Master of Architecture from Columbia University (2014) and a Bachelor of Art from The University of Hong Kong (2010). She studied Computer science in Zhejiang University before transferring to HKU, and is currently in process of completing the Master of Computer and Information Technology from Universit y of Pennsylvania. Her research interest encompasses a variety of different topics from robotic, artificial intelligence, material computation to human centric collaborative fabrication with VR/AR . It is her research vision to utilize emerging technology t o enhance our ability to understand, design and interact with space information and material. She led independent workshops in multiple universities in China with topics ranging from customizing digital design interfaces, interactive design, AR/VR, roboti c, to machine learning since 2014.
As a practicing architect she has worked for UN Studio during 2011 – 201 2 where she contributed on multiple competitions and commissioned project. In the Past, her design works have been featured in exhibitions such as Milan Triennial . She had been exhibition designer for exhi bitions in Architecture Center NY and The China Millennium Monument . She worked as the director of international collaboration for China Building Center since 2014, where the main responsibility is curating international competitions as well as education programs for institutions, developers and government
2019-2020 GSAPP Incubator Prize
Digital Young Award at Digital Future 2019
. Dan Luo, Weiguo Xu, Dechen Chen and Guanqi Zhu. A machine learning approach to establish a novel 3D printing method with PLA[C]. Proceedings of the 22nd International Conference on Advances in Materials & Processing Technologies (AMPT 2019)
. 罗丹，徐卫国. 一种基于机器智能的材料编程方法[J], 建筑技艺，2019(09)
. Xu, Weiguo, Luo, Dan and Gao, Yuan. Automatic Brick Masonry System and Its Application in On-site Construction[C]. Proceedings of the 24th CAADRIA Conference – Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 83-92
. Chen, Dechen, Luo, Dan, Xu, Weiguo, Luo, Chen, Shen, Liren, Yan, Xia and Wang, Tianjun. Re-percieve 3D printing with Artificial Intelligence[C]. Proceedings of the 37th eCAADe and 23rd SIGraDi Conference – Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 443-450
 Dan LUO, Jingsong WANG, Weiguo XU. Applied automatic machine learning process for material computation[C]. Proceedings of the 36th eCAADe Conference – Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 109-118
 Lei YU，Dan LUO, Weiguo XU. Dynamic Robotic Slip-Form Casting and Eco-Friendly Building Facade Design[C]. ROB|ARCH, Zurich, 2018.
. Lei YU，Dan LUO. Mesh Optimization for Spatial Wireframe Robotic 3D Printing[J]. Int. J. Rapid Manufacturing, Additive Manufacturing in Architecture, Vol.7 Nos. 2/3, 2018: 169-185
. Dan LUO, JingSong Wang, Weiguo Xu. Robotic automatic generation of performance model for none-uniform linear material via deep learning[C], Proceedings of the 23rd CAADRIA Conference – Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 39-48
. Jie Liu, Hongtao Ma, Ning Tang, Weiguo Xu and Dan LUO. Kinetair: Interactive Stairs with Multiple Functions[C], Proceedings of the 23rd CAADRIA Conference – Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 369-378
. Dan LUO, Weiguo XU. Interactive Spatial Formation in Virtual Reality[C]. Proceedings of 2017 National Conference on Digital Technology in Architecture Education and DADA 2017 International Conference on Digital Architecture, Nanjing, 2017:395-419.
. 罗丹，增强现实技术在建造施工中的应用探索[J] . 建筑技艺，2017(09): 40-42
. 罗丹，徐卫国. 虚拟现实与建筑实践[J] . 建筑技艺，2017(09): 36-38
. 罗丹，徐卫国. 参数化砖墙的实际新型建造方法研究[J], 建筑技艺，2017(07):110-112
. Pengyu ZHANG, Weiguo XU，Weixin Huang, Yufeng Zhu, Rui Dai, Dan Luo. Generative design based on sponge spicules’ forms[C]. Proceedings of the 22nd CAADRIA Conference, Xi’an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 509-518