Penny is a mining professional and entrepreneur (BE Mining, PhD, RPEQ, AusIMM CP). In June 2015, Penny founded PETRA Data Science to engineer data science solutions for the resources industry. Penny and her team have developed a suite of highly scalable algorithms for the mining industry e.g. machine learning algorithms to predict equipment and process downtime/efficiency, and digital twin value chain optimisation. In 2016, PETRA collaborated with Newcrest Mining to develop and deploy some of the mining industry’s first machine learning algorithms.
Penny worked on mine sites for five years before obtaining her Queensland 1st Class Mine Managers’ Certificate of Competency in 2000. In 2000, she commenced PhD studies at UQ’s Julius Kruttschnitt Mineral Research Centre, where she received the Ian Morley prize for Best Minerals Engineering Postgraduate student. In 2009, she instigated the application of self-organising maps (neural networks) for the study of SLC recovery analysis. As a consultant rock mechanics engineer, she developed original regression and probabilistic models to predict geotechnical instability. In Newcrest’s Innovation Group 2011-2013, she combined her operational background with advanced analytical skills, to design and execute research and innovation projects.
Penny Stewart, Chief Executive Officer and METS company founder of PETRA, will be presenting case studies demonstrating the successful application of machine learning in mining in the METS Technology Workshop. Register for a workshop.