Marco Notaro is a bioinformatician with eight years of experience turning complex genomic and proteomic datasets into actionable insights for biomedical and environmental research. He has built and productionized scalable NGS and scRNA-seq pipelines (Nextflow) and delivered multiple oncogenomics and proteomics projects while developing user-facing Shiny apps and reusable R/Perl toolkits. With a PhD in Computer Science and a background in molecular biotechnology, he blends machine learning research—authoring and packaging novel prediction tools—with hands-on Linux, Python, R, Bash and SQL engineering. Based in Zurich, he thrives at the intersection of research and applied analytics, preferring to let problems dictate tools and often prototyping end-to-end solutions from raw reads to interactive reports. Not obvious at first glance: he pairs rigorous computational work with strong reproducibility practices and a penchant for fieldwork, so when not debugging pipelines you might find him in the Swiss Alps.
8 years of coding experience
8 years of employment as a software developer
University of Milan
High School, High School at Liceo Scientifico Galileo Galilei
Contributions:18 PRs, 58 pushes, 66 branches in 5 months
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