Biological Hybrid AI pipeline for molecular subtyping of gastric cancer using multi-omics data (WES + DNA methylation + clinical). 91.2% accuracy, 100% MSI recall, 57.1% POLE recall.

End-to-end computational platform for pharmaceutical-grade cancer biomarker discovery. Integrates multi-omics data, machine learning, and clinical validation frameworks for precision oncology applications.

Supervised topological data analysis for MALDI-MSI data — persistence transformation for spectral feature extraction and classification, applied to public and proprietary clinical datasets.