𧬠Unraveling Cancer Biology through Single-Cell & Spatial Transcriptomics | Focused on Biological Insights from Multi-Omics Data
𧬠Unraveling Cancer Biology through Single-Cell & Spatial Transcriptomics | Focused on Biological Insights from Multi-Omics Data
I am a Ph.D. student in Biomedical Sciences at The Catholic University of Korea, specializing in cancer genomics, single-cell genomics, and bioinformatics. My research focuses on understanding the genetic underpinnings of cancer and developing computational tools for complex biological data analysis.
With a strong background in multi-omics data integration and machine learning approaches, I aim to contribute to precision oncology and personalized therapeutic strategies.
Seoul, Korea
Mar 2025 β PresentPh.D. candidate
Seoul, Korea
Mar 2021 β Aug 2024Thesis: Identification of molecular biomarkers of response to immune checkpoint inhibitors
University, Mississippi, USA
Jan 2019 β May 2019Exchange Student Program
Seoul, Korea
Interdisciplinary Major in Big Data Computing
Mar 2015 β Feb 2021Investigating genetic mechanisms driving oncogenesis and immunotherapy response.
Uncovering cellular heterogeneity via scRNA-seq to identify rare populations.
Integrating genomics, transcriptomics, and epigenomics for system-level insights.
Developing pipelines for NGS data analysis, variant calling, and network inference.
with
Advisor: Sung Hak Lee, M.D., Ph.D.
Graduate Student (Mar. 2025 - )
Research Associate (Sep. 2024 β Feb. 2025)
Advisor: Jungmin Choi, Ph.D.
Graduate Student (Mar. 2021 - Aug. 2024)
Undergraduate Research Intern (Jul. 2020 - Feb. 2021)
Identified pseudogene-derived lncRNA biomarkers in liver cancer using TCGA-LIHC dataset (369 tumor, 49 normal tissues). Discovered 465 differentially expressed pseudogenes and identified PLEKHA8P1 as a key biomarker.
Collaboration: Prof. Lark Kyun Kim (Yonsei University College of Medicine)
Analyzed RNA-seq data from 46 patients, identified 13 DEGs including KDF1 and CDK1 as significant biomarkers for metachronous gastric cancer progression.
Collaboration: Prof. Soo-jeong Cho (Seoul National University College of Medicine)
Analyzed transcriptional heterogeneity in HPSC using scRNA-seq data from Cxcr4 cKO and control mice. Identified key regulators of HSC homeostasis.
Collaboration: Prof. Joao Pereira (Yale University)
Cancer Medicine. 2024
* Co-first Author
Nature Communications. 2022
Int. J. Mol. Sci. 2021, 22, 7614
* Co-first Author
The 20th KOGO Winter Symposium 2024
Korea Research Foundation 2021β2022
Soongsil University 2020
Soongsil University 2016, 2020
Single-Cell Multiomics
Korea Society for Bioinformatics
Seoul, Korea
Spatial Transcriptome with R
Korea Society for Bioinformatics
Seoul, Korea
Spatial Transcriptome with R
Korea Genome Organization
Seoul, Korea
NGS Data Analysis Pipeline (GATK Workflow)
Korea University, INNOPOLIS
Seoul, Korea