Summary
Ruidong Li is a Principal Scientist in Bioinformatics with a decade of experience building production-grade software and cloud platforms to accelerate NGS data analysis. Based in Foster City, he blends deep computational biology expertise (PhD, UC Riverside) with hands-on engineering—authoring R packages, Python modules, Nextflow workflows, and full-stack Dash/Shiny/React+Django applications. At Gilead Sciences he designed an automated end-to-end AWS platform for an NGS sequencing core, improving workflow efficiency and data analytics at scale. An active open-source maintainer of tools like GDCRNATools, CancerMIRNome, PCaDB and WebGEO, he pairs peer-reviewed publications in top computational biology journals with sustained community impact. Colleagues rely on him for translating complex bioinformatics methods into robust, reproducible pipelines and web services that support both research and production needs.
10 years of coding experience
6 years of employment as a software developer
Ph.D Bioinformatics, Ph.D Bioinformatics at University of California, Riverside