Summary
Matt Bayly is a Principal Quantitative Biologist and application developer with 11 years of experience blending ecological science and spatial data engineering from Whistler, BC. He designs and implements habitat and population models, complex machine learning workflows, and 2D hydrodynamic analyses while automating large-scale spatial analysis pipelines primarily in R, Python and FOSS4G tools. Matt builds decision-support web and server systems (LAMP, PostGIS, GeoServer, Leaflet/Mapbox) and is comfortable provisioning Ubuntu/Raspbian servers end-to-end. His work bridges rigorous ecological theory from an MSc in Botany with pragmatic software delivery, enabling reproducible analyses and operational tools used in environmental consultancy. Notably, he pairs deep R mastery with practical geospatial engineering (GDAL/GRASS, GEE, HEC-RAS) to turn field data and complex models into actionable products for stakeholders.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at University of Victoria
Master of Science - MS, Botany/Plant Biology, Master of Science - MS, Botany/Plant Biology at The University of British Columbia