Multi-Omics Data Pipeline

A multi-omics ETL on HPC clusters that pulls cancer data together from several public sources, quality-checks it (automated K-Means and DBSCAN anomaly checks in CI/CD), and runs machine-learning models (SVM-RFE, random forest) to surface candidate biomarkers.

TCGA / PCAWG / ENCODE / PRIDE · HPC clusters · audit-ready lineage docs

Biomarker discovery was bottlenecked on wrangling enormous, messy, mismatched datasets before any modeling could start.