Tanner Briggs
AI Rare Earth Mineral Exploration at skymineral.com
Tanner Briggs is a PhD candidate in Economic Geology at Stanford University. His research focuses on geostatistical resource estimation and machine learning approaches to mineral prospectivity mapping, with particular interest in rare earth element deposits. Deep experience. Intellectual curiosity.
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Recent articles by Tanner Briggs
- Rare earth deposit mapping: Kriging vs machine learning 2026 false-positive drill targets October 28, 2026
- Mine Dewatering Cost Risk: Stochastic Models vs 2026 Copper Price Scenarios October 25, 2026
- Mineral prospectivity mapping: Sustainability peer-review checks, CHF 2,400—Verify or Skip October 22, 2026
- Rare earth resource estimates: Bayesian vs kriging - 95% credible interval or drill more? October 19, 2026
- October 16, 2026
- How TSM Mining Scores Work: Geologist's 5-Point Audit Threshold Guide October 12, 2026
- Auditing 2026 CGS Rare-Earth Prospectivity Maps: A 60% Legacy-Mine Buffer Test October 9, 2026
- Critical Minerals Mining Cutoff Grade: USGS 2025 Bear Lodge Model Raises Threshold From 0.2% to 0.4% TREO October 6, 2026