Summary
Jingyi Liu is an urban-tech project manager with nine years of experience bridging research, product, and built-environment delivery across China and North America. Trained at McGill and MIT (M.S. Building Technology), she has translated academic work on lifecycle cost and carbon optimization and AI-driven simulation into practical urban solutions—most recently leading digital twins, BIPV, and smart-agriculture integration at BIAD’s intelligent headquarters. Previously she led digital transformation product teams at Longfor, shipping web-based design tooling, RPA for finance, and investment due diligence in proptech. Comfortable working with vendors, government, and multilateral stakeholders, she combines quantitative modeling fluency (Python, surrogate models, genetic algorithms) with hands-on construction coordination and fundraising. Her next focus is advancing sustainable, technology-enabled cities through international organizations or development finance.
9 years of coding experience
Master of Science in Building Technology, Building Sustainability, Smart City, Big Data Visualization, Machine Learning, 5.0/5.0, Master of Science in Building Technology, Building Sustainability, Smart City, Big Data Visualization, Machine Learning, 5.0/5.0 at Massachusetts Institute of Technology
Bachelor of Science in Architecture, Building Sustainability, Architectural Design, Civil Engineering, Urban Planning, 3.8/4.0, Bachelor of Science in Architecture, Building Sustainability, Architectural Design, Civil Engineering, Urban Planning, 3.8/4.0 at McGill University