Christian Werner is a Senior Software Engineer with a decade of experience building scalable, production-grade systems for remote sensing and environmental data at Planet and leading research institutions. He specializes in ETL and GeoData toolchains, advanced analytics including machine and deep learning, and Bayesian model optimization and uncertainty quantification—bridging rigorous academic research (PhD, summa cum laude) with applied engineering. His background as a senior scientist and university lecturer gives him a strong foundation in ecological and geospatial domains, enabling him to translate complex global-change research into robust, scalable pipelines. Based in Würzburg, Germany, he combines deep domain expertise with practical software craftsmanship to deliver efficient processing of large structured and unstructured Earth-observation datasets.
10 years of coding experience
15 years of employment as a software developer
Dr. rer. nat. (PhD), Environmental Science, summa cum laude, Dr. rer. nat. (PhD), Environmental Science, summa cum laude at The University of Freiburg
Bachelor of Arts - BA, Geography, Bachelor of Arts - BA, Geography at The University of Queensland
Master of Science - MS, Geography, Master of Science - MS, Geography at The Julius Maximilians University of Würzburg
Semantic Segmentation model for the detection of dead trees from ortho photos.
Contributions:322 commits, 81 PRs, 162 pushes in 1 year 8 months
pytorchphotostreessciencesemantic-segmentation
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Christian Werner - Senior Software Engineer at Planet