Paul Kellam

The paper analyzes B cell responses to a germline-targeting immunogen in human Ig loci transgenic mice, finding diverse non-VRC01-class B cells and competitor B cells recognizing epitopes near the VRC01 epitope.

The paper introduces a method to identify novel cross-clonotype antibodies by clustering based on predicted paratope features, validated on a Pertussis toxoid dataset.

The paper analyzes HIV-1 full-genome sequences from London to reveal high strain variability, including unique recombinants and transmission clusters not detectable with partial sequencing.

The paper develops a tool to accurately reconstruct whole HIV genomes from short-read data by using tailored references, showing improved accuracy over standard references.

This paper introduces a method to infer evolutionary dynamics of intra-host HIV using deep sequencing data, finding mutation rates and population sizes comparable to BEAST.