Current research interests include implementing Machine Learning in Health Administration, Responsible AI, Digital Data Sovereignty, Ethical considerations with First Nation’s Statistics, Deep learning techniques to identify river blockages in Southeast Asia, Geostatistics to quantify uncertainty in geological models and fire impacts on mangrove vegetation and regeneration on the mid-north coast NSW

Scott McManus is a Ngiyampaa man, who has completed a PhD focusing on uncertainty assessment of spatial domains in early-stage mining projects using pXRF and Bayesian methods. He has over 25 years of consulting experience in data, data science, spatial science, quality control, Geostatistics and mineral resource estimation using geostatistical methods. Scott is a Registered Professional Geologist (Australian Institute of Geoscientists), MAIG, and a Member of the International Association for Mathematical Geosciences.

Scott teaches in the fields of spatial statistics, spatial analysis, data, data modeling, and machine learning and ethics around data and data sovereignty.

• Registered Professional Geoscientist (Mining and Information Geoscience), Australian Institute of Geoscientists.
• Member of the Australian Institute of Geoscientists.
• Member of the International Association for Mathematical Geosciences
• Member of Aboriginal and Torres Strait Islander Mathematics Alliance