Summary
Benilton Carvalho is an Associate Professor and former Chair of Statistics at UNICAMP with 20 years’ experience developing statistical methods for high-throughput biological data and mentoring the next generation of biostatisticians. He combines deep academic research (PhD in Biostatistics from Johns Hopkins) with practical bioinformatics software engineering, as a leading Bioconductor contributor and author of widely used packages such as oligo and crlmm. His work spans microarrays and next-generation sequencing, experimental design for large-scale studies, and production-ready data products implemented in R, Python, SQL and SAS. Beyond publications, he has shaped institutional research strategy as an advisor to UNICAMP’s vice-president of research and led bioinformatics labs that translate methods into community tools. A practical statistician at heart, he is known for bridging rigorous methodology with open-source software that directly enables reproducible biomedical analyses.
20 years of coding experience
15 years of employment as a software developer
Johns Hopkins University
M.Sc., Statistics, M.Sc., Statistics at UNICAMP
English, Portuguese