Student Researcher (First-Author)

First-author study linking copy-number alteration burden to transcriptomic complexity across 3,527 tumors in 12 cancer types.

• Analyzed GISTIC copy-number and RNA-seq data (3,527 TCGA tumors, 12 cancer types) using PCA, ANOVA, MLR, and PLS.
• Directly associated SCNA burden with transcriptomic effective rank across quartiles (1000+ bootstrap resamples); PLS linked intracellular transport and immune response to burden with R-squared 0.883; abstract published in STEM Fellowship Journal.