Adrian has experience using machine learning techniques in geosciences, including automatic drillhole logging, satellite image processing with neural networks, and structural feature detection using convolutional neural networks. Adrian is both a geologist and a geostatistician and produces open-source software for geostatistics and mineral resources in Python, Fortran, Cython, C and SQL. He has worked as a consultant since 2002, covering many commodities including gold, copper, nickel, chromium, and raw material for the cement industry.
Adrian has considerable experience using multiple indicator kriging for resource estimation of gold deposits with high nugget and domaining issues; with non-linear geostatistics and with conditional simulations for resource estimation and model validation. Adrian has previously worked as an Assistant Professor in Cuba and Ethiopia, teaching geology and geostatistics.