Shicong Cao
Founder
DataDrivenAEC
Shicong Cao is an architect, engineer, and AI enthusiast working at the intersection of artificial intelligence and the built environment. A licensed architect with a focus on healthcare design, she has contributed to major projects at HDR and Heinlewischer, gaining deep expertise in designing future-ready healthcare spaces.
Since 2021, Shicong has focused on integrating AI and machine learning into architecture, engineering, and construction (AEC). As Founder & CEO of DataDrivenAEC, she leads initiatives to transform AEC workflows through data-driven innovation. Her work includes:
A machine learning model that auto-populates BIM parameters from 15,000+ real-world door instances
Real-time project management tools with custom data visualizations
AI-powered knowledge systems, including design-assist chatbots for architects
Automated design evaluation tools enabling performance-based decisions
Her research, including the publication "A POI-Based Machine Learning Method in Predicting Health", highlights how built environments impact well-being. A regular contributor to computational design conferences, Shicong also authors the DataDrivenAEC newsletter, promoting data literacy in the AEC field.
Driven by a belief that AI can relieve architects of repetitive tasks, she envisions a future where data, empathy, and design excellence define a more user-centered AEC industry.
Since 2021, Shicong has focused on integrating AI and machine learning into architecture, engineering, and construction (AEC). As Founder & CEO of DataDrivenAEC, she leads initiatives to transform AEC workflows through data-driven innovation. Her work includes:
A machine learning model that auto-populates BIM parameters from 15,000+ real-world door instances
Real-time project management tools with custom data visualizations
AI-powered knowledge systems, including design-assist chatbots for architects
Automated design evaluation tools enabling performance-based decisions
Her research, including the publication "A POI-Based Machine Learning Method in Predicting Health", highlights how built environments impact well-being. A regular contributor to computational design conferences, Shicong also authors the DataDrivenAEC newsletter, promoting data literacy in the AEC field.
Driven by a belief that AI can relieve architects of repetitive tasks, she envisions a future where data, empathy, and design excellence define a more user-centered AEC industry.