Jairo Jhonatan Marquina Araujo

Mining Engineer from the National University of Trujillo (UNT), where he graduated with honors as the first place student of his class. He works as a researcher and lecturer in mining engineering, focusing on the application of advanced quantitative methods for mine planning and optimization of mining operations.

Classified as a RENACYT Researcher Level II in the National Registry of Science, Technology and Technological Innovation of Peru, with scientific output indexed in international databases such as Scopus and Web of Science.

• Specialization in artificial intelligence, machine learning, and statistical methods applied to mining.
• Continuous training in mine planning, geostatistics, and mineral resource modeling.
• Mining Engineer, National University of Trujillo (UNT), top-ranked graduate.

From the beginning of his career, he has shown a strong vocation for research in mine planning, geostatistics, artificial intelligence, and statistical analysis applied to the mining industry, with emphasis on operational efficiency, safety, and sustainability.

His scientific production includes articles in high-impact journals on mineral resource modeling and classification using machine learning techniques, bibliometric analyses in hydrometallurgy and circular economy, as well as studies on the recovery of strategic elements from mining tailings.

His current lines of work include optimization of mine planning through predictive models, resource estimation using advanced geostatistical techniques, application of artificial intelligence algorithms to the mining value chain, and evaluation of responsible and sustainable mining strategies. He maintains active collaboration with national and international research groups to continue contributing innovative solutions to the mining sector.