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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Keyshot ■ ■ ■ ■ □
Maya ■ ■ ■ □ □



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



09 Leisure Pavilion - A Parametric Design Test for Light and Tangible Material
Instructor: Li Chen, Niya Jones


Personal Work
Instructor: Li Chen, Niya Jones
Individual Work
Summer 2020

This project explores the integration of material, structure, and form to achieve an efficient and sustainable architectural design. Inspired by nature’s inherent efficiency—where nothing is lacking and nothing is superfluous—the design draws parallels with natural structures such as birds’ eggs. These continuous thin shells demonstrate how forces are optimally transferred along their surface due to their specific form, exemplifying structural efficiency and sustainability.

To overcome the limitations often faced by architects due to a lack of structural knowledge, this project utilizes advanced computational tools such as Grasshopper plugins Kangaroo and Karamba. These tools simulate the structural behavior of the proposed reciprocal structure system, providing real-time, visual feedback of mechanical forces. By allowing the computer to handle complex structural calculations, the design process is optimized, bridging the gap between architectural creativity and structural logic.