Summary
Marc-etienne Ridler is an environmental data management expert and software engineer with 11 years of experience combining hydrology, remote sensing and cloud-native development. Holding a PhD in Remote Sensing, he has built production-grade systems—from a cloud-hosted C# flood risk portal to a secure backend for global ocean buoys—and founded the open-source Python package mikeio for environmental data handling. He is fluent in Python and C#, skilled with geospatial stacks (GDAL, PostGIS, rasterio, geopandas) and statistical time-series and Bayesian methods that inform model-data assimilation. Based in Copenhagen, he blends academic rigor with product delivery, turning satellite observations into operational decision tools and making uncertainty quantification a practical part of environmental workflows.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Geography - Remote Sensing, Doctor of Philosophy (PhD), Geography - Remote Sensing at Københavns Universitet - University of Copenhagen
Bachelor of Engineering (B.Eng.), Electrical & Computer Engineering, Bachelor of Engineering (B.Eng.), Electrical & Computer Engineering at University of New Brunswick, Canada
Master of Science in Engineering (M.Sc. Eng.), Biomedical Engineering ( Electrical Engineering Department ), Master of Science in Engineering (M.Sc. Eng.), Biomedical Engineering ( Electrical Engineering Department ) at University of Calgary
English, French, Danish, Spanish