Summary
Daniel De Carvalho is a bioinformatician and postdoctoral researcher with a PhD in genetics and over eight years of experience applying Python-driven workflows to genomics, transcriptomics and NGS (Illumina and PacBio) data. He has taught university courses since 2013 across genetics, molecular biology, plant breeding, bioinformatics and network science, blending traditional and active pedagogies such as flipped classrooms and project-based learning. His research spans comparative genomics, metagenomics and evolution—most recently focusing on Bambusoideae—coupled with hands-on lab management, experimental design and grant writing. Comfortable in Linux/Unix and proficient in R, he also has a track record of building production-ready analysis pipelines and complex network analyses (gene presence/absence, SNPs, gene evolution rates). Fluent in English with four years’ international residence in the U.S., he pairs deep technical skill with science communication experience, having managed outreach channels and prepared scientific reports and publications.
8 years of coding experience
4 years of employment as a software developer
BSc Biological Sciences, BSc Biological Sciences at Universidade Católica de Salvador
PhD in Agronomy and Horticulture, Bioinformatics, PhD in Agronomy and Horticulture, Bioinformatics at University of Nebraska-Lincoln
Master's degree in Genetics and Biodiversity, Bioinformatics, Master's degree in Genetics and Biodiversity, Bioinformatics at Universidade Federal da Bahia
Portuguese, German, English, Spanish