23 Oct 25

Western Hemisphere Webinar, Part 1

UTC

11.00 – 11.10

Mohammad Parsa & Daniel Coutts

Welcome & Introduction

11.10 – 11.30

Universidad de Chile

A combined use of geostatistics and machine learning to predict hydrothermal alterations for mineral exploration

11.30 – 11.50

Antoine Cate

SRK

The Foundation of Prospectivity Mapping: Prioritizing Data Quality Over Algorithm Complexity

11.50 – 12.10

Sarah Gelman

USGS

Quantitative Modeling of Geologic Hydrogen Prospectivity

12.10 – 12.30

Angel Daruna

SRI International, USA

Enabling Scalable Mineral Exploration: Self-Supervision and Explainability

12.30 – 12.50

Curran Wearmouth

BC Geological Survey

NA

12.50 – 13.10

Lahiru Matheesha Nagasingha

Polytechnique Montréal

Uncertainty aware risk-return analysis for mineral prospectivity modelling

13.10 – 13.30

Kyubo Noh

University of Toronto

Applying agentic AI in the domain of mineral prospectivity mapping