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MISSION REPORT · Research · 2026

Uncertainty-Aware Geotechnical Site Characterization

Probabilistic ML for risk-informed site characterization from sparse CPT measurements (Bechtel-funded, RAMSIS Lab).

  • Python
  • Probabilistic ML

DOSSIER

Mission report in progress

This mission report is still being written. The archive one-liner above is the summary on file.

Sparse-sensor field

Illustrative demo — not the research model.

A synthetic field of fixed-seed Gaussians is sampled by sensors you place; a worker then draws a radial-basis Gaussian-process posterior and its uncertainty.

Synthetic scalar field used by the illustrative sensor demo.

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DOSSIER — download resume PDF