FANG (FRANK) SUN



Fang (Frank) Sun graduated with a Bachelor of Science in Architecture degree from the University of Virginia, distinguished by an insatiable enthusiasm for the intersection of architecture, artificial intelligence, and digital fabrication.

After completing a four-year program and a year of practical experience, he has immersed himself in developing sustainable and resilient design solutions through robotics and digital fabrication. With a minor in computer science, he explores AI, computational methodologies, and adaptive modeling.

His current work focuses on rapid housing reconstruction for natural disasters, utilizing 3D printing, robotics, and automation to enhance efficiency, optimize material usage, and improve structural resilience.

Now pursuing dual master’s degrees in Architecture and Science in Design: Robotics and Autonomous Systems (RAS) at the University of Pennsylvania, he continues to blend technical expertise, creative vision, and innovation to advance digital fabrication and resilient design, while currently working as a Research Assistant in the Polyhedral Structures Laboratory (PSL).



                   Click below to learn more about FRANK
           ARCHITECTURE EXPERIENCE
    RESEARCH & TEACHING EXPERIENCE
       COMPUTER SCIENCE EXPERIENCE
                 LEADERSHIP EXPERIENCE
                SERVICE EXPERIENCE



Design Skills
>5 YEARs
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>3 YEARs
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>1 YEAR
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Maya ■ ■ ■ □ □



Program Skills
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HTML ■ ■ ■ ■ ■
React ■ ■ ■ ■ □
Arduino ■ ■ ■ ■ ■



08 Lightwood House - An Entity Construction for Stay and Rest
Instructors: Hua Wu, Lei Zhang


Internship Work
Instructor: Hua Wu, Lei Zhang
Team Work
Summer 2021
This project is a wooden, illuminated rest station designed to provide a comfortable space for students and faculty to relax. Constructed with 20 wooden panels, more than 50 LED light boxes, and wooden blocks for support, the design explores the concepts of void and volume through a dual approach of excavation and infill. 

Using parametric slicing techniques, the project carefully controls the offset between each template layer, creating a dynamic expression of the void space. This collaborative project is currently exhibited at the Architecture Department of Nanjing University.