[1071] Cancer Systems Immunology

Single-cell and spatial omics technologies are opening new avenues for understanding disease mechanisms at cellular resolution, offering new insights into why diseases and their responses to therapy vary across patients. In cancer immunology, these approaches reveal tumors as complex ecosystems composed of diverse and interacting cancer, stromal, and immune cell populations, each contributing in distinct ways to disease progression and therapeutic response. However, the high-dimensional data generated by these rapidly evolving technologies pose major analytical challenges for biological interpretation and for the identification of actionable biomarkers and therapeutic targets.

Our lab develops computational and statistical methods to analyze high-throughput single-cell and spatial omics data. We aim to understand how cell states and cell–cell interactions shape disease trajectories and influence treatment outcomes. A central focus of our research is to characterize patterns of cell heterogeneity – both within individual tumors and across patients – and to understand their roles in cancer progression and therapy resistance.

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