Scott McManus

Environmental Science

Dr Scott McManus

B.App.Sci (App.Geology), G.Dip.Arch.Heritage, G.Dip.App.Sci(IT) & G.Cert.App.Stats, Phd

Lecturer in Spatial Science
Port Macquarie
Building 802 Room 2236

Scott McManus is a Ngiyampaa man, who has completed a Data Science 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. His 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 is a Registered Professional Geologist (Australian Institute of Geoscientists), MAIG, ATSIMA, and a Member of the International Association for Mathematical Geosciences

Scott has been teaching at CSU since 2019 in the fields of spatial statistics, spatial analysis, data, data modeling, and machine learning and is a Faculty representative on the Indigenous Board of Studies.

Scott’s research interests cover applying Data Science, Predictive Analytics, Uncertainty assessment, Geostatistics, and Bayesian applications to a range of problems and areas as well as Data Sovereignty and Ethics when working with First Nations People.