Changjin Hong is a Principal Data Science Analyst and computational biologist with over a decade of experience applying bioinformatics and machine learning to decode tumor biology and discover therapeutic biomarkers, particularly in cancer and immuno-oncology. He integrates multi-omics—single-cell, spatial transcriptomics, bulk RNA-seq, and proteomics—to reveal mechanisms of immune dysfunction and ICI resistance, with recent discoveries including TIGIT-related signaling and novel exhaustion markers in CAR-T–treated lymphoma. Based at Mayo Clinic and collaborating with Kure.ai, he bridges clinical research and ML-driven biomarker discovery to improve patient stratification and target selection. Trained with a PhD in electrical engineering, he blends rigorous quantitative methods with hands-on tool development and a knack for translating complex datasets into actionable clinical insights.
Divine: Prioritizing Genes for Rare Mendelian Disease in Whole Exome Sequencing Data
Contributions:24 commits, 17 pushes, 3 branches in 5 months
divinesequencing-dataexomesequencinggenomics
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