Sunghoon Kwon

This paper introduces BCR-SORT, a deep learning model that predicts B cell subsets from BCR sequences, revealing inter-individual heterogeneity in memory B cell evolution post-COVID-19 vaccination.

GRIP improves cancer patient survival prediction by modeling immune repertoires as hierarchical graphs, outperforming set-based methods and providing interpretable results.

The paper develops a new laser-based cell isolation technique and optimized whole genome amplification protocol to enable whole genome analysis from stained blood cells.

The paper proposes using eleven degenerate bases to increase DNA-based data storage capacity and reduce costs, achieving 3.37 bits/character and projecting a 50% cost reduction.

This paper introduces PHLI-seq, a method to isolate and sequence cancer cells in 3D space, revealing genomic heterogeneity and linking genotypes to phenotypes in breast cancer.