Summary
Natalia De Souza Araujo is a bioinformatician with 11 years of experience applying multi-omics analyses to uncover genetic and regulatory drivers of complex traits across ecology and agriculture. She has led end-to-end genomics and transcriptomics pipelines—from variant calling and pedigree-level gene conversion detection to transcriptome assembly, differential expression, and co-expression analyses—during postdoctoral and research scientist roles in European research groups. Based in Liège, she blends strong R and Python skills with domain expertise in evolutionary genetics, having earned a PhD from Universidade de São Paulo and continued professional training in biostatistics. Currently at Florimond Desprez, she translates omics insights into practical solutions for plant breeding and functional genomics, and her background includes teaching and tool development that streamline reproducible analyses. Notably, she has developed bespoke scripts to detect non-Mendelian haplotype transitions, a niche capability that reflects an eye for subtle genomic patterns often missed by standard workflows.
11 years of coding experience
6 years of employment as a software developer
Analyse de données appliquée en R&D - niveau de base, Biostatistics, Analyse de données appliquée en R&D - niveau de base, Biostatistics at Université catholique de Louvain
Technical Course, Chemistry, Technical Course, Chemistry at ETEC Getúlio Vargas
University of São Paulo
Bachelor's degree, Biology, General, Bachelor's degree, Biology, General at Universidade Paulista
English, Portuguese, French, Dutch