Christian Ebeling is a Senior Scientist in the Data Mining Group at Fraunhofer SCAI with nine years of focused experience bridging bioinformatics research and industry-grade data mining for life sciences and pharma. He leads collaborative EU-funded projects and develops database-driven AI tools, most recently driving ETHCSTWIN to fuse ethnopharmacological heritage with computational discovery to find novel natural-product drug leads. With deep roots in computational biology and as a main developer of the BRENDA enzyme database, he combines practical database engineering with biomedical text mining and large-scale data integration. Based in the Cologne–Bonn region, he thrives at the intersection of academic rigor and commercial application, bringing a rare blend of historical knowledge recovery and modern AI to translational research.
9 years of coding experience
1 year of employment as a software developer
Diplom, Biology, Diplom, Biology at The University of Göttingen
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Christian Ebeling - Senior Scientist Data Mining Group