Computational oncology, bioinformatics, AI/ML drug design
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Research spans computational oncology and bioinformatics: building ML models for prognosis and recurrence, extracting biomarkers from omics and spatial transcriptomics, and accelerating small‑molecule discovery through virtual screening and repurposing, with emphasis on lung cancer and kinase‑driven disease.
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