Summary
Bruno Ariano is a bioinformatician with 8 years of experience applying statistical genetics and computational genomics to complex traits, currently contributing to Human Technopole after roles at Lifebit and Open Targets. He builds and optimises scalable genomics pipelines with Nextflow, Python, R, Hail and PySpark, and has practical expertise deploying CI/CD and cloud-native workflows on Google Cloud and other platforms. His background blends hands-on wet-lab experience from ancient DNA work with advanced population-genetics analyses—GWAS fine-mapping, colocalisation and Mendelian randomisation—reflecting both experimental and computational fluency. A PhD-trained researcher who taught Python for ChIP-seq analysis, he is comfortable bridging research and production environments to turn statistical genetics methods into robust, performant pipelines.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Biotechnology, Bachelor's degree Biotechnology at Università degli Studi di Napoli Federico II
PhD candidate in Genetics Population genetics, PhD candidate in Genetics Population genetics at Trinity College Dublin
Master's degree Bioinformatics, Master's degree Bioinformatics at University of Rome Tor Vergata
English, Italian, Spanish