Summary
Seunghyuk Choi is an assistant professor and computational bioinformatics researcher with a decade of experience developing large-scale software and methods for discovery of novel peptides from proteogenomic data. He combines strong software engineering (notably Java for parallel tools and R for statistical figures) with deep domain expertise in mass spectrometry and NGS-driven peptide identification, producing published pipelines for UTR-encoded peptides, mutation-derived peptides, and proteogenomic mapping. His work spans large multi-omics cancer cohorts in Korea and immunopeptidomics, and he is actively moving toward deep learning–based high-throughput peptide profiling. Equally comfortable writing production-grade bioinformatics tools and analyzing complex omics datasets, he brings a pragmatic blend of coding discipline and biological insight that enables reproducible discovery at scale.
10 years of coding experience
2 years of employment as a software developer
BS, Computer Science & Engineering, BS, Computer Science & Engineering at Hanyang University
Doctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at 한양대학교