I’m ph.D student in BHI Lab at Seoul National University. My scientific background is in biochemistry and bioinformatics, specifically interested in formulating desiderata of biology or medical science into computational problem.
“What I cannot create, I do not understand”
- Richard Feynman
Academic CV
About Me
Current research interest
•
Single-cell level response prediction with generative model
•
Multi-omics biomarker discovery via graph neural network
•
Building scalable and reproducible pipelines for RNA-seq data
Skills
•
Python
•
R
•
Docker
•
Nextflow
•
Snakemake
•
Git
•
Shell script
Languages
Korean – native English – advancedSpanish – intermediate
Education
•
2018 – present
Interdisciplinary Program in Bioinformatics at Seoul National University•
2013 – 2018
Biochemistry Bachelor’s degree at Yonsei University◦
Selected as Fellow of the National Excellence Scholarship (Natural Sciences and Engineering)
Portfolio
Publication
•
Co-lead 2024, Scientific Reports (Submitted)“Identification of Severity Related Mutation Hotspots in SARS-CoV-2 Using a Density-Based Clustering Approach”
•
2024, BMC genomics (Under revision) “ALPACA: A Visual Data Mining System for Subcellular Location-specific Knowledge Mining from Multi-Omics Data in Cancer”
•
•
2023, Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics “Deep learning-based survival prediction using DNA methylation-derived 3D genomic information”
Presented by Dabin Jeong at ACM-BCB 2023
•
2023, Journal of Korean Medical Science “Machine Learning-Based Proteomics Reveals Ferroptosis in COPD Patient-Derived Airway Epithelial Cells Upon Smoking Exposure”
•
2022, International Journal of Molecular Science “A Survey on Computational Methods for Investigation on ncRNA-Disease Association through the Mode of Action Perspective”
•
Lead 2021, Frontiers in Genetics “Construction of Condition-Specific Gene Regulatory Network using Kernel Canonical Correlation Analysis”
•
Co-lead 2020, Recent Advances in Biological network Analysis, “Network Propagation for the Analysis of Multi-omics Data”
•
Presented by Dabin Jeong at Genome Informatics Workshop (GIW) 2019
•
2019, Frontiers in Plant Science “PropaNet: Time-Varying Condition-Specific Transcriptional Network Construction by Network Propagation”
•
2018, Nucleic Acids Research “TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions”
cited 1,341 times (24.4.4)