Big problems. Algorithmically compressed.
I have found that in order to begin to innovate in intelligence, it becomes necessary not just to modify the way that you approach a problem, but also to modify the tools that you employ in approaching the problem.
For me, the goal is to create a set of efficient methods for problem-solving, giving room for future innovations--not mounting a collection of solutions with no direction.
Selected Projects
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Church of Atlántida
Double Curvature
San Pedro Church
Folded Plates
Silo Cadyl Young
Ceramic Vault
Montevideo Shopping
Free-form Shell
Cloudflare Workers Demonstration
Serverless & Edge AI
Engineering tools for higher-order reasoning.
Based in Brookline, Massachusetts, Gabriel Forman focuses on the cross-section of deep learning representations, mathematical systems, and high-performance computation.
By designing algorithmic workflows that minimize computational friction, the aim is to synthesize intuition and rigorous engineering into instruments capable of solving complex problems at scale.
Gaussian Waveform Simulator
Move your pointer or touch across the canvas to modulate the catenary curve tension, frequency, and harmonic amplitudes.