1. Jung S, Accessing Genomic Alternations in Chronic Lymphocytic Leukemia Using an NGS-Based Comprehensive Genomic Profiling Assay. ASH 2020 (poster).
  2. Jung S, A Comprehensive Genomic Profiling Approach to Interrogate Hematologic Malignancies using a Novel Multimodal Next Generation Sequencing Assay in a Single-tube. COMPANYWIDE Monthly Frontiers in Biology Seminar Series, NeoGenomics. 2020 (talk).
  3. Jung S, Advancing the Big Data Genomics Analysis using Cloud. The 18th KOCSEA Technical Symposium, Las Vegas, NV, Nov. 2017 (talk).
  4. Jung S, Jin H, and Davuluri RV, Identification of Regulatory SNP Candidates based on Integrative Data Analysis for Prostate Cancer. The 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Atlanta, GA, Sept. 2015 (talk).
  5. Jung S, Identification of Candidate Regulatory SNPs by Integrative Analysis for Prostate Cancer Genome Data. Third Annual NUPF Research Symposium, Northwestern University, IL, Jul. 2015 (poster).
  6. Jung S, Bi Y and Davuluri RV, Informatics framework for clustering and deriving gene signatures for prognostic strati cation of cancer patients. American Association for Cancer Research (AACR) Conference on Translation of the Cancer Genome, San Francisco, CA, Feb. 2015 (poster).
  7. Jung S, Bi Y and Davuluri RV, Comparison of Data Discretization Methods for Cross Platform Transfer of Gene-expression based Tumor Subtyping Classifier. 4th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), Miami, FL, June 2014 (talk).
  8. Jung S, Bi Y and Davuluri RV, Evaluation of Data Discretization Methods for Cross Platform Transfer of Gene-expression based Tumor Subtyping Classifier. 10th Annual Lewis Landsberg Research Day, Northwestern University, IL, Apr. 2014 (poster).
  9. Jung S, RNA Junction Structure Analysis and Prediction with Applications to Structure Modeling of Viral RNAs. Rutgers University, NJ, 2013 (talk).
  10. Jung S, RNA Junction Structure Analysis and Modeling with Applications to Structure Predictions of Regulatory Regions of Viral RNAs. The Wistar Institute, PA, 2013 (talk).
  11. Jung S, Modeling RNA Junctions with Applications to Structure Predictions of Regulatory Regions of Viral RNAs. Memorial Sloan-Kettering Cancer Center, NY, 2013 (talk).
  12. Jung S and Schlick T, Candidate RNAs for domain 3 of the foot-and-mouth-disease virus internal ribosome entry site. New York Computational Chemistry Conference, The Graduate Center, CUNY, NY 2013 (poster).
  13. Kim N, Laing C, Elmetwaly S, Jung S, Curuksu J and Schlick T, Monte Carlo Sampling of RNA 3D Graphs. American Institute of Mathematical Sciences, FL, 2012.
  14. Kim N, Laing C, Jung S, Elmetwaly S, Curuksu J and Schlick T, Folding RNA by a Hierarchical Graph Sampling Approach. SBE Barcelona, Germany, 2012.
  15. Jung S, RNA Modeling with Applications to the 3D structure of Regulatory Regions in the Human Rhinovirus. Structural Biology Seminar, NYU Langone Medical Center, 2010 (talk).
  16. Jung S, Laing C, Iqbal A and Schlick T, Structural configurations and tertiary motifs in RNA junctions. Computational Biology Day, NYU, 2009 (poster).
  17. Laing C, Jung S, Iqbal A and Schlick T, Structural similarity revealed in analyses of RNA junctions. Laufer Center for Computational Biology Inaugural Symposium, Stony Brook University, NY, 2009 (poster).
  18. Jung S, RNA Structure Analysis and Modeling. CoB Colloquium, NYU, 2009 (talk).
  19. Yousef M, Jung S, Kossenkov AV, Showe LC and Showe MK, A web-server applying Naïve Bayes and SVM for microRNA gene prediction. ECAI08-BIGPAIA. Greece. 2008.
  20. Yousef M, Jung S, Showe LC and Showe MK, A Web-Server Predicting MicroRNAs based on Machine Learning Approaches. Greater Philadelphia Bioinformatics Alliance, PA, 2007 (poster).