Simo V. Zhang

The paper develops DASH, a machine learning algorithm to detect HLA LOH in cancer, showing 18% prevalence across 611 patients and correlations with PD-L1 and MSI.

This paper introduces SHERPA, a pan-allelic MHC-peptide prediction algorithm, which improves neoantigen discovery by integrating immunopeptidomics data and composite modeling.

The paper improves Anopheles genome assemblies using comparative genomics methods and experimental data, resulting in more contiguous and chromosomally anchored assemblies.