Summary
George Carvalho is a genomics bioinformatician with nine years of international experience applying computational biology, statistics, and machine learning to clinical and population sequencing. He currently supports undiagnosed disease cases at UCLA Health’s California Center for Rare Diseases, building reproducible WGS/WES/RNA-seq pipelines and clinical genomics resources used in patient diagnosis and research. Previously he contributed to large-scale population genomics and SARS-CoV-2 lineage projects at G42 Healthcare in Abu Dhabi and improved diagnostic pipelines at leading Brazilian institutions. Comfortable across Nextflow/Snakemake, Python/R, Docker and cloud/HPC environments, he blends tool benchmarking, pipeline validation, and clear documentation to bridge research and clinical practice. His academic work marries open-data bioinformatics with ML methods, reflecting a sustained interest in turning statistical rigor into actionable clinical insights.
9 years of coding experience
6 years of employment as a software developer
Bacharelor's degree, Biomedical science, 7.2/10.0, Bacharelor's degree, Biomedical science, 7.2/10.0 at Federal University of Pernambuco
Master's degree in Computer Science, Machine Learning, 4.0/4.0, Master's degree in Computer Science, Machine Learning, 4.0/4.0 at Informatics Center of UFPE
Spanish, French, English