Our fundamental question is, “What are essential biological programs that govern and drive tumor evolutionary trajectories under therapeutic pressure?”

Our lab seeks to understand how tumors evolve, adapt, and survive under therapeutic pressure. We are particularly interested in identifying the molecular programs that drive evolutionary transitions associated with treatment response, resistance, and recurrence

To address these questions, we integrate multimodal molecular profiling, including genomics, transcriptomics, proteomics, single-cell, spatial, and clinical data, to reconstruct tumor evolutionary trajectories across time and space. By characterizing the dynamic biological processes governing tumor adaptation, we aim to uncover actionable vulnerabilities to predict, prevent, or redirect tumor evolution toward more favorable clinical outcomes. Ultimately, our goal is to transform large-scale molecular and clinical data into mechanistic insights that advance precision oncology and improve patient care.