Data-Driven Translational Cancer Research
Our research aims to advance cancer treatment by developing innovative computational methodologies that bridge data science and translational oncology. We pursue two primary directions: (1) leveraging clinical and multi-omics data to generate data-driven hypotheses, uncover novel cancer vulnerabilities, and optimize therapeutic strategies, and (2) building AI-powered analytical platforms to support patient-centered biomedical research. [more]