Summary
Tomás Di Domenico is a research associate and bioinformatician with 11 years of experience building scalable data pipelines and applying high-throughput sequencing to cancer research at CNIO. Trained as a PhD in bioinformatics, he blends deep computational skills—Python, Perl, C, Snakemake, cloud and HPC stacks like LSF/Lustre and Google Cloud—with practical expertise in BI tools and data integration from earlier industry roles. He has a track record of assembling genomes from nanopore data, analyzing non-coding RNAs and genome stability, and coordinating an academic bioinformatics master’s program. Comfortable spanning research and production, he also brings experience designing enterprise BI architectures and teaching Pentaho across three countries, a background that sharpens his ability to translate complex biological questions into robust, reproducible workflows.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Università degli Studi di Padova
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Universidad del Salvador
High School, High School at Colegio Nacional de Buenos Aires
Master’s Degree, Data Mining and Knowledge Discovery, Master’s Degree, Data Mining and Knowledge Discovery at University of Buenos Aires
Spanish, English, Italian, French