Independent scientific expertise connecting biological data, quantitative genetics and field knowledge to research, innovation and decision-making.
Discuss a projectScientific support from experimental design and biological data analysis to interpretation, publication and knowledge transfer.
Analysis of genomic and molecular datasets, SNP data, population structure, genetic diversity and reproducible analytical workflows.
Population genetics, quantitative genetics, breeding strategies, genotype × environment interactions and biological interpretation.
Experimental design, research strategy, data interpretation, scientific writing and support for collaborative R&D projects.
EUSOCIA combines computational approaches with a strong understanding of biological systems and field realities.
Genomics, gene expression, population genetics, molecular biology, SNP datasets, statistical genetics and biological data analysis.
Honeybee genetics, reproduction, breeding, colony phenotypes, ecotoxicology and interactions between genetics, environment and management.
Pollinators, biodiversity, biological resources and the integration of ecological knowledge into applied research and innovation.
Research synthesis, scientific publications, technical reports, training and translation of complex biological results into actionable knowledge.
EUSOCIA was founded by Damien Fèvre, a geneticist and bioinformatician with international experience in academic research, applied genetics and biological data science.
His work spans molecular biology, genomics, population genetics and quantitative approaches, with particular expertise in honeybee biology and breeding.
This scientific background is complemented by practical experience in beekeeping, agroecology, biodiversity and higher education, allowing EUSOCIA to connect data analysis with the biological systems from which those data originate.
Research collaboration, bioinformatics analysis, scientific consulting or R&D project?