I am a researcher, designer, and practitioner driven by the pursuit of fundamental truths—elegant, universal principles that reveal beauty within complexity. My perspective is shaped by a fusion of disciplines: a deep understanding of AI/ML, a well-honed spatial intuition, and the rigor of mathematical thought. These facets intertwine, constantly sparking a dynamic interplay of ideas.
JUST A TECHNOLOGIST | AI+ROBOTICS RESEARCHER | ARCHITECT OF SPACES AND SYSTEMS
PARTICLES LAB ｜ EXP-0
This series of particle systems visualizes my sparks, inspirations, and computational thinking in AI/ML research. EXP-0 demonstrates how a seemingly continuous flow emerges from the collective behavior of homogeneous discrete particles. The experiment explores how universal principles can shape—or “tame”—a highly diffusive system into a temporarily semi-stable state with subtle macrostructures.
References
Ken Perlin. Improving noise. ACM Transactions on Graphics, 2002.
Jonathan Ho et al. Denoising Diffusion Probabilistic Models. Arxiv, 2020.
Tim Severien. Stable curl noise particles.
Isaac Cohen. GLSL implementation of curl noise.
Patricio Gonzalez Vivo. GLSL implementation of simplex noise.
The Book of Shaders. Chapter 11. Noise.
NVIDIA Developer. Geometry instancing on GPU.