Design Philosophy:
Specialize in TOD (transit-oriented development) integrated development design, I focus on mixed-use projects spanning several square kilometers around transportation hubs. TOD ensembles demand of architecture, rail engineering, urbanism and commercial operations, addressing the full project lifecycle from design-construction-operation-renewal, while reconciling conflicting stakeholder interests. These highly complex projects shaped my philosophy: architecture needs to transcend time, space, and disciplines by incorporating care for broader communities, foresight into long-term impacts, and integration of multidisciplinary expertise, to enable creativity and aesthetics into practice.
After years of experience in commercial, office, cultural, and residential projects, I moved to TOD for its greater challenges. Vertically overlayed functions, stringent railway design and operation standards, volatile business models, cross-disciplinary regulations and jurisdictions, mismatched phasing, and long project cycles make delivery far harder than conventional projects. As the team chief architect, 2nd and de-facto team leader, I dedicate the delivery of creative ideas and spatial aesthetics into practice within complex constraints—not just concepts. Among nearly 30 TOD projects I led, over 10 TOD projects have been under construction or completed, which earns the recognition from local governments and partners, by inviting me as the member of review panels for TOD projects.
Beyond projects, I tried to contribute to industry. My project team was invited as the only Hong Kong architectural design team in the research group, co-authored in a Guangdong provincial-level research on the coordination of construction regulations in the Greater Bay Area, to deepen the participation for Hong Kong architects practicing in Mainland China. Some of our measures in the research have been translated into policies and piloted in Qianhai, Shenzhen. I also led my team integrating AI-assisted design in full-workflow since early 2024. Now we are preparing workshops to share AI workflow with peer institutions, to raise industry-wide efficiency.
