Dongjun Chung

Dongjun Chung develops computational and statistical methods for analyzing large-scale genomic and epigenomic data, including tools for detecting genetic variants, integrating multiple types of genomic data to classify cancer subtypes, and analyzing gene regulation patterns. This work is applied across diverse biological questions, such as cancer immunology, opioid addiction genetics in animal models, and radiation exposure effects, often in collaboration with experimental research groups.

Publication output has grown substantially over the past decade, rising from single digits in 2017 to a peak of 49 in 2024, indicating an increasingly active and productive research program.

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