Moritz Lürig is an evolutionary ecologist and postdoctoral researcher with 10 years of experience applying AI and computer vision to high-throughput phenotyping across crustaceans, insects, aquatic plants and museum collections. He develops computational pipelines that turn images and specimen archives into high-dimensional trait data, bridging fieldwork, lab experiments and museomics to tackle fundamental questions about the origin and maintenance of phenotypic diversity. Having completed a PhD at ETH Zürich and held postdoc positions at Lund University and the University of Florida, he combines rigorous ecological theory with practical engineering of AI-enabled workflows. Notably, his work emphasizes scalable, reproducible methods for extracting phenotypes from heterogeneous data sources, making neglected natural-history collections actionable for evolutionary research.
10 years of coding experience
Master of Science - MS, Marine Environmental Sciences, Master of Science - MS, Marine Environmental Sciences at Carl von Ossietzky Universität Oldenburg
Doktor (Ph.D.), Ecology and evolution, Doktor (Ph.D.), Ecology and evolution at ETH Zürich
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