Andreas Agrafiotis

The paper uses deep mutational learning to analyze serum antibody escape to SARS-CoV-2 variants, finding individualized escape profiles and conserved binding signatures.

The paper characterizes clonal dynamics of antibody-secreting cells in bone marrow following influenza infection, finding that IgG ASCs preferentially target nucleoprotein regardless of infection type.

This study shows that protein language model pseudolikelihoods correlate with B cell selection features like SHM and isotype usage, but not binding affinity, in vivo.