Summary
Steven Pawley is a senior scientist and instructor combining a PhD in Quaternary Geology with 10+ years of applied data science to tackle large-scale geoscientific and environmental problems. He designs reproducible ML workflows, interactive visualizations, and production web apps that integrate 3D geospatial querying (PostGIS/SFCGAL) and model explainability to inform decision making. At the Alberta Geological Survey he led projects from depth-to-bedrock and permafrost mapping to induced seismicity and landslide susceptibility models, blending NLP on millions of borehole records with raster-based machine learning. An active open-source developer, he maintains rgrass and has authored R and Python packages (Rsagacmd, Pyspatialml, aqua) that bridge GIS, tidymodels, and H2O. Based in Edmonton, he brings academic rigor and practical systems thinking, uniquely able to translate complex geoscience into production-ready tools for policy and resource management.
10 years of coding experience
MSc (1st Class), Quaternary Science, MSc (1st Class), Quaternary Science at Royal Holloway, University of London
PhD, Quaternary Geology and Geochronology, PhD, Quaternary Geology and Geochronology at University of London
BSc (Distinction), Earth Science, BSc (Distinction), Earth Science at Liverpool John Moores University