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Computational Art Gallery

Algorithmic visualizations generated from research concepts and data.

This gallery showcases algorithmic art generated from research concepts in databases, machine learning, and AI for science. Each piece is:

  • Computationally generated using JavaScript and Canvas API
  • Animated in real-time with mathematical functions
  • Inspired by research in vector databases, neural operators, and high-dimensional data

The visualizations are not just decorative—they represent actual concepts from ongoing research:

  • Network graphs model collaboration patterns and citation networks
  • PDE simulations demonstrate neural operator learning for scientific computing
  • Vector fields represent optimization landscapes in learned index structures
  • High-dimensional projections show semantic clustering of research topics

All code is open source and part of this website's repository. The art adapts to your theme (light/dark mode) and pauses when the page is hidden to save resources.


"Mathematics is an art practiced with highly specialized tools." — Creating beautiful patterns from the mathematical foundations of computer science.