Samuel Bhatt

Samuel Bhatt develops AI-based knowledge graph approaches to identify drug repurposing opportunities in cancer. His laboratory integrates multi-omics data, drug-protein interaction networks, disease-gene associations, and clinical evidence into large-scale heterogeneous knowledge graphs. He applies graph representation learning to traverse these networks and predict which existing drugs may have activity against specific cancer subtypes. His tools are designed to prioritize drug repurposing hypotheses for experimental validation with strong mechanistic rationale.