Hyeongseon Jeon

Hyeongseon Jeon's work sits at the intersection of computational statistics and immunology, focusing on methods for analyzing RNA sequencing data (a technique for measuring gene activity) and T-cell receptor repertoires used in cancer immunotherapy research. Much of the research involves developing statistical tools, such as covariate adjustment and false discovery rate control methods, to improve the reliability of gene expression analyses. Some earlier work also touches on applied topics like environmental data modeling and animal biomarkers.

Publication output was minimal or absent before 2022 but has grown sharply since, peaking in 2024, indicating a rapidly increasing and currently active publication record.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026