David J. Hamelin

The paper models HLA diversity and viral evolution to assess T cell escape risk across populations, finding that escape mutations gain fitness with additional mutations.

The paper presents computational tools for analyzing SARS-CoV-2 genetic data, showing that haplotype networks and unsupervised learning can reveal lineage emergence and population dynamics.

The paper provides detailed experimental protocols and an open-source tool, MhcVizPipe, for analyzing MHC I and II ligand datasets in immunopeptidomics.