Trevor Clancy

This study identifies conserved T-cell targets across betacoronaviruses using machine learning and validates their immunogenicity through functional assays and mRNA vaccination in mice.

The paper creates a single-cell reference map of NK cells and identifies tumor-associated states predictive of patient outcomes in melanoma and osteosarcoma.

This paper introduces a deep learning method for predicting B cell epitopes using molecular permutation vectors and 3D protein structures, showing improved accuracy over existing tools.

This study uses AI to predict immunogenic epitopes across SARS-CoV-2 variants, identifying vaccine candidates with broad population coverage.

This study maps the transcriptional changes during human NK cell differentiation using single-cell RNA sequencing, identifying key gene programs and checkpoints.