Design

Computational design, parametric modeling, and data-driven aesthetics

Design Research

We apply computational thinking to design processes, enabling new forms of creativity through algorithms and data.

Research Themes

Computational Design

  • Parametric and generative design systems
  • Optimization and constraint satisfaction
  • Design space exploration

Data-Driven Aesthetics

  • Visualization as design practice
  • Data as creative material
  • Information design and narrative

Creative Tools

  • Design support systems and assistive tools
  • Human–AI collaboration in design
  • Rapid prototyping and iteration

Digital Fabrication

  • Algorithmic modeling for 3D printing
  • Generative patterns for CNC and laser cutting
  • Integration of computation with physical making