Summary
Ginny Li is a validation technician and computational biologist with 11 years of experience turning messy data into actionable insights for labs, nonprofits, and classrooms. She combines wet-lab skills (western blots, RT‑PCR, LC‑MS on TripleQuad and Orbitrap) with bioinformatics pipelines in R and Unix, having automated RNA‑seq workflows for high-value samples and developed custom XCMS scripts for metabolomics. Ginny excels at communicating complex STEM topics to diverse audiences—from seniors and schoolchildren to stakeholders and CIOs—and has built 20+ Tableau dashboards to streamline programs handling 10,000+ line datasets. Comfortable bridging bench science and data visualization, she’s drawn to uncovering hidden patterns (or “negative days” oversights) and helping non-profits and small businesses wrangle their data. Based in Calgary, she’s motivated by practical, auditable solutions and a knack for making technical work accessible.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS Biochemistry and Molecular Biology, Master of Science - MS Biochemistry and Molecular Biology at University of Calgary