Summary
Ruijuan Li is a senior scientist based in Cambridge, MA, with over 15 years of experience in computational biology and a Ph.D. in Biological Sciences from Auburn University. She specializes in population genetics, GWAS, eQTL/QTL integration, and machine learning-driven phenotype prediction, having built ultra-high-density genetic maps and models that achieved ~80% accuracy in crop trait prediction. At Inari she advances applied genomics for crop improvement after prior postdoctoral work at UC Davis and USDA-ARS focused on nematode resistance and diversity in cotton and canola. Comfortable at the interface of wet-lab biology and data science, she mentors trainees and routinely turns RNA-seq and GBS datasets into candidate genes and actionable breeding insights. An analytical biologist who enjoys coding, she brings both deep domain expertise and practical computational skills to translational plant genomics.
10 years of coding experience
11 years of employment as a software developer
BS Biotechnology, BS Biotechnology at Hebei Normal University
High school
Doctor of Philosophy (Ph.D.) Biological Sciences, Doctor of Philosophy (Ph.D.) Biological Sciences at Auburn University
Chinese, English