As a designer, I have always been drawn to the intelligence of form—the way nature encodes efficiency, function, and elegance into every structure. From the biomechanics of movement to the intricate branching of veins, form is not arbitrary; it is a response to data, forces, and constraints. Design, at its core, is computation.
This belief has shaped my journey. With a background in architecture, computational design, and digital twins, I work at the intersection of design automation, data-driven aesthetics, and algorithmic problem-solving. My expertise lies in developing adaptable design systems, translating complex datasets into generative frameworks, and bridging engineering constraints with human-centered form-making.
At Texas A&M University, my research explores digital twins and procedural modeling, leveraging parametric systems, real-time simulations, and automation to create dynamic, evolving environments. As part of the Digital Twin Lab (TAU Group), I have worked on scientific visualization, real-time digital twins for manufacturing and robotics, and AI-driven simulation tools—projects that merge data, automation, and human factors into intelligent design solutions.
To me, computational design is about more than efficiency—it is about expanding creative possibility. Whether through generative algorithms, simulation-driven optimization, or advanced manufacturing techniques, I strive to design not just static products, but living, adaptable systems