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Executable companions generated by DBbun from documents, images, and other source materials.
A Future Without French Fries — Synthetic Dataset Collection
Python
Privacy-first toolkit for synthetic childhood and AYA cancer data readiness, care-gap, and model-fairness analysis.
Transparent decision-support simulator for Lyme disease and Long COVID burden scenarios, evidence provenance, and uncertainty analysis.
Digital Engineering to Simulation: converts CAD-export geometry, SysMLv2, and parametric data into an ASOT, AI-assisted human-approved behaviors, and executable low/high-fidelity simulation output. Built for the Army Training Verse Challenge II.
Python model of a Mars surface food system for 15 crew over 500 sols. NASA Deep Space Food Challenge: Mars to Table submission.
Executable companions generated by DBbun from documents, images, and other source materials.
Interactive dashboard for exploring DBbun's bio-inspired VTOL aircraft designs and synthetic mission simulations for the DARPA Lift Challenge
GBIF-based open notebook: aquatic biodiversity early-warning signals, ML trajectory clusters, spatial hotspots, and scenario simulation.
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