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Sijung Yun is a distinguished computational biologist and bioinformatic scientist specializing in genomic data analysis. With a Ph.D. in Computational Biology and Bioinformatics, Dr. Yun focuses extensively on bioinformatics analysis to advance healthcare, primarily in Dr. Gill’s lab. Their work predominantly involves Next Generation Sequencing (NGS) data analysis, DNA sequencing (DNA-seq), RNA sequencing (RNA-seq), and Chromatin Immunoprecipitation sequencing (ChIP-seq). Since 2017, Dr. Yun has served as an adjunct faculty member in the Advanced Academic Programs at the Krieger School of Arts and Sciences, Johns Hopkins University, where they teach genomic data analysis. This role reflects their dedication to educating the next generation of scientists in cutting-edge techniques and methodologies in genomics. Dr. Yun is passionate about leveraging omic data analyses to contribute significantly to the field of personalized precision medicine. Through their research and teaching, they aim to foster advancements that tailor healthcare treatments to individual genetic profiles, thereby enhancing patient outcomes. Dr. Yun's commitment to the field places them at the forefront of bioinformatics and genomic research, driving innovations that promise to transform healthcare practices.
Johns Hopkins University • Baltimore, MD
Focused on bioinformatics analysis and genomic data to advance healthcare.
Krieger School of Arts and Sciences, Johns Hopkins University • Baltimore, MD
Teaches genomic data analysis as part of the Advanced Academic Programs.
Department of Pathology - PhD in Pathobiology. GRE is not required.