The Challenge
Cancer biomarker discovery requires analyzing massive, multi-dimensional biological datasets — genomic, proteomic, metabolomic — and cross-referencing findings against thousands of published studies. Manual analysis takes months and misses patterns humans can’t see.
Approach
We partnered with multiple biotech companies to build the data infrastructure and AI tools that let researchers move faster and trust their findings more — from raw data ingestion through interactive visualization.
What We Built
Systems to ingest, clean, and prepare complex biological datasets across multiple modalities
Machine learning for pattern detection across genomic, proteomic, and metabolomic data
AI-powered literature cross-reference system saving weeks of manual review
Interactive visualizations making complex biological findings interpretable for scientists and stakeholders
Technologies & Methods
Selected Visuals
