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. 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, with a focus on cancer and immune system dysregulation.