Summary
Edahí Avalos is a bioinformatics scientist with 9 years of experience applying machine learning to large-scale biological data and delivering production-grade analysis pipelines. Based in San Diego, she is currently a Bioinformatics Scientist II at Guardant Health, where she develops software tools to support analytical validation and clinical validation pipelines and works on multi-contributor internal software projects. Her background blends PhD-level bioinformatics with hands-on software engineering, including implementing Snakemake-driven pipelines and drafting end-to-end pipelines from 1,300+ public datasets. Before Guardant, she contributed as a Bioinformatics Scientist and intern, including hands-on pipeline control and curation of diverse datasets. She earned a PhD in Bioinformatics from UC San Diego (with prior focused studies in genomics at UNAM), and has experience in metagenomics and immunology internships, reflecting a broad systems biology perspective. Outside of day-to-day work, she demonstrates a track record of turning complex biological questions into scalable, auditable computational workflows.
9 years of coding experience
2 years of employment as a software developer
University of California, San Diego
Spanish, English