Thomas Hagan

This paper develops a multi-omic framework to predict human immune responses from mouse models across various stimuli, finding that functional modules are more conserved than individual genes.

This study infects human microglia with HIV and identifies gene expression changes linked to HAND, showing distinct inflammatory pathways compared to macrophages.

The paper introduces the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets for comparative vaccine response analysis.

The paper identifies a pre-vaccination transcriptional state linked to pro-inflammatory genes that predicts higher antibody responses to multiple vaccines.