Summary
Julianne David is a Senior Computational Biologist in the Portland area with nine years of experience turning large-scale RNA-seq datasets into actionable cancer biomarkers. She specializes in discovering cancer-specific splicing events and peptide targets for early detection and immunotherapy, and she recently advanced statistical models for confident calling of novel transcripts. Her work spans GTEx, TCGA, CCLE and SRA resources, plus curation of benchmarking datasets and experimental validation of splicing-derived peptides. A collaborative researcher by training (PhD in Computational Biology from OHSU), she has bridged multi-institutional teams and shifted methods from theoretical development to practical biomarker discovery. Notably, she pairs deep computational rigor with hands-on assay validation, making her effective at moving discoveries toward clinical relevance.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Oregon Health & Science University
Master of Science - MS, Chemistry, Master of Science - MS, Chemistry at Northwestern University
University of Illinois Laboratory High School