Tzintzuni Garcia is a Senior Bioinformatician with 11 years of experience applying computational rigor to high-throughput sequencing and large biological datasets at the University of Chicago. Trained as a biologist and computer scientist with a PhD in Biophysical, Structural, and Computational Biology, she blends domain expertise with software skills to build analyses and visualizations that make complex, abstract data interactively explorable. She leads translational data science efforts, maintains HPC workflows, and teaches an advanced genomic analysis course that she continually updates with real-world guest expertise. Her work often focuses on bespoke computational methods for non-model organisms and challenging RNA-Seq datasets, reflecting a knack for practical innovation when standard pipelines fall short. Located in Chicago, she pairs academic rigor with production-facing bioinformatics to enable reproducible research and insightful data-driven decisions.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Texas A&M University-Corpus Christi
Doctor of Philosophy (PhD), Biophysical, Structural, and Computational Biology, Doctor of Philosophy (PhD), Biophysical, Structural, and Computational Biology at The University of Texas Medical Branch at Galveston
CWL tools and workflows for generating and processing aliquot-MAF
Contributions:1 release, 3 reviews, 14 PRs in 2 years 7 months
maf-filesmafcwlbioinformaticsworkflows
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