I’m Glen Nwaila, an Associate Professor of Geometallurgy and Machine Learning at the School of Geosciences (University of the Witwatersrand). I specialise in teaching, research, and industry consulting services in the disciplines of mining geostatistics, geometallurgy, extractive metallurgy, data analytics, and machine learning. I hold a PhD in Geosciences from the Julius-Maximilians-Universität Würzburg (Germany), and an MSc in Chemical Engineering from the University of Cape Town, alongside extensive experience in the mining and consulting industries.
My career has spanned the mining industry, management consulting, technical auditing, and academia, where I’ve contributed to numerous advancements in the mining sector, publishing 50+ papers in international peer-reviewed journals. I’ve developed algorithms that have been implemented by leading mining and commercial software companies.
I am currently the Director of the African Research Centre for Ore System Science (CORES) at the School of Geosciences where I am also an Associate Professor of Geometallurgy and Machine Learning, as well as Deputy Head of School (University of the Witwatersrand, South Africa). I am the former Director of the Wits Mining Institute. With over 17 years of experience in academia, the mining industry, and professional advisory consulting services, I’ve worked for several mining companies (Gold Fields, Sibanye Stillwater, Harmony Gold, and MGC Coal), as well as advisory firms such as Deloitte Technical Mining Advisory Division and SmartMin Mining Data Analytics Division. I’m also a former South African rising star awardee in the mining and metals division. I have hands-on experience in all areas of the mining value chain, especially mineral resources management, hydrometallurgy, numerical modelling, and risk quantification/management. Significant professional growth is reflected in my substantial career portfolio, which includes a path of promotion to increasingly responsible senior positions from Trainee Engineer, Production Geologist, Manager, and Associate Professorship to Director of Operations. I have a proven track record in managing challenging operational and corporate projects, risk management, creating ESG frameworks, data analytics, and strategic planning, with a forward-thinking ability to provide efficient solutions to problems and operational turnarounds.
To develop and disseminate knowledge in extractive metallurgy, mineral resources management, and quantify uncertainty through data-driven numerical modelling techniques.
Strategist | Data Analyst | Catalyst | Innovator | Numerical Modeller
My work focuses on applying advanced GeoData Science techniques to improve resource extraction and promote sustainable mining practices.
I’m deeply committed to mentoring the next generation of geoscientists and engineers. As a professor, I strive to inspire students to think critically, innovate, and apply their knowledge to real-world challenges. My experience in both industry and academia has provided me with a unique perspective, and I’m passionate about sharing these insights with those who represent the future of the mining industry.
Reflecting on my journey, I see how the values my parents instilled in me—a respect for service, dedication, and professionalism—have influenced my career. Although I didn’t follow the traditional professions they envisioned (i.e., neurosurgeon), I’ve found my own way to contribute meaningfully to society through my work.
The mining industry has always been a part of my story, from my father’s early days in the goldfields to my current research in optimizing mining practices. I continue to push the boundaries of innovation in mining and sustainable resource management.
I’m especially grateful for the mentorship of Prof. David Reid, Prof. Megan Becker, Prof. Jochen Petersen (University of Cape Town), Prof. Hartwig Frimmel (University of Wuerzburg), Prof. Raymond Durrheim, Prof. Judith Kinnaird (University of the Witwatersrand), Dr. Richard Stewart, and Mr. Manie Keyser (Sibanye-Stillwater).
by Glen Nwaila, Leon Tolmay, Mark Burnett
This book provides a practical perspective of all the processes involved in estimating mineral resources and reserves, including mine-to-mill reconciliation. It provides an integrated step-by-step explanation of processes for performing each step, including insight from academic and industry practitioners. Each chapter details a specific aspect of the estimation processes in a practical manner. It contains examples and case studies to illustrate the practical application of geostatistics in mineral resource estimation, mineral reserve conversion, and reconciliation.