Julian Ortiz, PhD, PEng, QP
Co-Founder, CEO & Principal Mining Consultant
Dr. Ortiz is a Mining Engineer from Universidad de Chile and Ph.D. from University of Alberta. Currently, he is Professor and Mark Cutifani / Anglo American Chair in Mining Innovation at University of Exeter - Camborne School of Mines, in the United Kingdom, where he conducts research related to geostatistical ore body estimation and simulation, and geometallurgical modeling using statistical learning. Dr. Ortiz previous roles include Head of Department at Queen’s University and Universidad de Chile. He has over 25 years of consulting experience in sampling, ore body modeling, predictive geometallurgy, and technology adoption.
Sebastian Avalos, PhD
Co-Founder, CTO & Principal Mining Consultant
sebastian.avalos@apmodtech.com
Dr. Avalos is a Mining Engineer and M.Sc. in Mining from Universidad de Chile and Ph.D. in Mining Engineering from Queen’s University. Author of the Annapurna Resource cloud-based mining software solution. He focuses on the application of conventional and advanced predictive modeling techniques in the mining industry. With over 12 years of experience and working on the frontier between deep learning, advanced geostatistics, and mine planning, Sebastian has led and contributed to the realization of more than thirty-eight mining-related projects, published peer-reviewed articles, conference proceedings, and professional training programs.
Bernabe Lopez, BEng
Lead Mining Engineer & Director of Business Development
Bernabe Lopez is a Mining Engineer from University of Chile. He has over 15 years of experience developing software for the mining industry as well as a mining operations’ background. He has successfully led the development of products from ideation to early commercialization that are now used by over 40 Tier 1 operations worldwide. Before joining APMT, he was Lead Product Manager at Hatch Ltd. in Canada and VP of Products at TIMining, Chile.
Nelson Morales, PhD
Senior Advisor Mining & Principal Consultant
Dr. Morales is a Mathematical Engineer from University of Chile and a Ph.D. in Science from Université de Nice Sophia-Antipolis. He has over 20 years of experience in developing mathematical models and tools for mine planning and design optimization. Throughout his carrier, he worked for CODELCO-IM2, and for 12 years he was a researcher at the Advanced Mining Technology Center, where he led the Mine Planning and Design group and DELPHOS mine planning laboratory. Currently, he is an associate professor at Polytechnique Montréal. Nelson Morales has authored more than 100 publications in international conferences and journals in mine planning and is the author of several planning software applications for optimization and simulation of mining operations.
Paula Larrondo, MSc
Senior Advisor Geology & Senior Consultant
Paula is a Geologist and M.Sc. from Universidad de Chile (Chile) and an M.Sc. in Mining Engineering (Geostatistics) from the University of Alberta (Canada). She worked for 15 years as a geostatistician in various international consulting companies. Paula also founded the geology program at Universidad Mayor (Chile), where she taught geology and geostatistics for seven years. She is a Ph.D. candidate at the Department of Electrical and Computing Engineering of Queen’s University, where she is working towards a deep learning model to provide automated feedback to open-ended student work in the context of complex problem-solving in Engineering Education.
Nicolas Avalos, MSc
Developer, Support & Project Geologist
Nicolas Avalos is a Geologist and holds a Master’s degree in Geology from the University of Chile (Chile). He has two years of experience in prospecting and exploration of natural resources (Au, Ag, Cu, and Mo) at TriMetals Mining Inc and Guanaco Outdoors SpA, and three years of experience in research and development of projects in economic geology. Nicolas specializes in geological modeling, from drillhole description, QA/QC analysis, and database management to generating reports and leading team working.
Oscar Peredo, PhD
Advanced Research & Development Advisor
Dr. Peredo is a Computer Scientist and Mathematical Engineer from Universidad de Chile. He holds a Master's degree in Information Technologies with a specialization in Supercomputing and a Ph.D. in Computer Architecture from the Universitat Politècnica de Catalunya, where his thesis focused on the acceleration of large-scale geostatistical applications. With over 15 years of experience in developing high-performance computing and distributed applications, Oscar has contributed to numerous projects utilizing cutting-edge technologies. Currently, he leads the Data Science and Data Engineering teams at a telecom company, focusing on developing large-scale predictive models and applications. He has authored several scientific publications in international conferences and journals, covering topics such as geostatistics, code optimization, and parallel computing.