Fabian Leal-Villaseca

Fabian Leal-Villaseca is a researcher affiliated with the School of Physics, Mathematics and Computing, focusing on geostatistics and machine learning applications. His work bridges computational methods with spatial data analysis.

• Research Output: Published 1 peer-reviewed article in Computers and Geosciences (2025) on Deepkriging for geostatistical interpolation.

Current research trends involve integrating deep neural networks with traditional geostatistical techniques like kriging to enhance spatial modeling accuracy. His work has garnered 4 citations and is linked to mineral resource assessment challenges.

Collaborations: Collaborates on interdisciplinary projects involving geostatistics, resource modeling, and computational decision-making systems.