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
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>3 YEARs
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>1 YEAR
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06 An Aggregable Collective for Industrial Settlement - Exploring Architectural Growth with Discrete Design
Instructor: Meizi Li


Personal Work
Instructor: Meizi Li  
Individual Work  
Fall 2022
As a wall is constructed by bricks, an architecture/community could be aggregated by parts.  

This design site is located around an industrial park in Berlin, Germany. The location is chosen to incorporate the industrial park into a more compact, multi-functional building cluster that can “grow.” In this design, basic discrete spaces include apartments, offices, power plants and laboratories, and shared discrete spaces include learning areas and transportation areas.  

The prototype of this project can be extracted, arranged, and augmented through parametric operation to generate a whole city as well as an innovative urban life mode. Their flexibility and inclusiveness allow them to fit into different city vibes and promote social interactions.