Immune responses to viral infection emerge through coordinated interactions across multiple tissues, including entry sites, lymphoid organs, and circulating immune cells. To capture these dynamics, we generate longitudinal datasets that integrate single-cell transcriptomics, immune repertoire sequencing, and spatial transcriptomics across multiple organs.
These datasets allow us to reconstruct how immune responses evolve over time and space during infection and vaccination. By combining spatial analysis with computational modeling, we aim to identify key cellular interactions and microenvironmental contexts that shape antiviral immunity. This program provides a systems-level view of immune responses and serves as a critical resource for building predictive models of host immunity.