Jonathan Joon-Young Park

The paper identifies genetic interactions between cancer mutations and immune resistance genes using a CRISPR double knockout screen, revealing potential targets for existing drugs.

The paper analyzes T cell receptor repertoires from COVID-19 patients and healthy donors to identify signatures associated with disease severity and develops machine learning models to predict severity based on TCR features.

This study identifies Nsp1 as a key pathogenicity factor of SARS-CoV-2 that redirects host translation machinery to viral RNA by inhibiting cellular protein synthesis and altering gene expression programs.

The paper uses machine learning to identify pathogenic hotspots in coronavirus genomes, including SARS-CoV-2, and integrates these findings with immunological features to guide vaccine development.