Claudia L. Driscoll

This paper introduces Duality vaccination, a method that delivers both activating and inhibitory stimuli to shape antibody responses, using nanoparticle-based immunogens.

Minerva extracts RNA base-pairing, protein-contact and repeat maps from a genome language model without alignments, flagging unannotated structured loci and a phage ncRNA array reverse-transcribed into short cDNAs.

This paper introduces antiGen, a machine learning model that forecasts viral mutations from phylogenetic trees, achieving state-of-the-art results for SARS-CoV-2 and other viruses.

This paper aligns a protein generative model with experimental fitness using Direct Preference Optimization, improving stability prediction and enabling new applications.

Germinal is a generative pipeline that designs functional antibodies with nanomolar binding affinities using minimal experimental testing.

Fine-tuned Evo 1 and Evo 2 genome language models designed complete ΦX174-like phage genomes; 16 of 285 assembled designs were viable, and some outperformed ΦX174 in competition.