Welcome to Suo Lab

Integrating computational biology, artificial intelligence and experimental research

Research overview

Research focus. We investigate how immune cell states and tissue environments shape responses to cancer immunotherapy, including the balance between antitumor immunity and immune-related adverse effects. We also study changes in the immune microenvironment during early tumor evolution, with particular interest in T-cell regulation and interactions among different cell populations.

Methods. We combine single-cell and spatial multi-omics with computational modeling to connect molecular profiles with their tissue context. Our work develops approaches for spatial mapping, regulatory network analysis, causal inference and interpretable machine learning. Experimental systems help validate computationally inferred hypotheses, linking method development to biological discovery.

Research snapshots

Open positions

We welcome applications from students, postdoctoral researchers and research assistants interested in computational biology and immunology. Please see our positions page for details.