Daniel Yu is a Lecturer in Computational Design within the Faculty of Arts, Design and Architecture at the University of New South Wales (UNSW). His research and teaching focuses on advanced computational design workflows, particularly the integration of computational methodologies within application design for architectural and urban planning processes to improve design interfaces, efficiency, and overall outcomes. Daniel holds a Bachelor of Architectural Computing and a Master of Philosophy in Architecture from UNSW, where his research explored innovative methods of translating slime mould behaviour into parametric algorithms through the utilisation of artificial organic simulations and topographical analysis, informing sustainable and efficient urban transport infrastructure design. His previous research projects explore urban infrastructure and planning, environmental analysis and optimisation, performance architecture, biomimetic design, and sustainability. Daniel's research has also been incorporated with interdisciplinary projects, contributing to the development and refinement of computational tools and methods aimed at addressing emerging design challenges. Currently pursuing a PhD at UNSW, Daniel's research investigates the potential democratisation impacts of artificial intelligence-integrated applications within architectural and urban design. His studies examines how the democratisation of skills and tools can enhance equitable participation, inclusivity, and accessibility, promoting community engagement and responsive urban environments.