About Me
Hello, I’m Kanghee Cho, a master’s student in the Department of Bioinformatics & Life Science at Soongsil University. I am passionate about data-driven biology, especially in the areas of single-cell and spatial transcriptomics, gene regulatory networks, cancer genomics and applying machine learning to bioinformatics.
I enjoy working with Python, R, and Linux-based environments. I am experienced in handling large-scale biological datasets and have managed lab server systems for over 2 years to support collaborative research.
Last updated: July 11, 2025
Education
Soongsil University
Integrated B.S./M.S. in Life Science and Bioinformatics
Mar. 2021 - Aug. 2026 (expected)
Founded in 1897, Soongsil University is Korea's first modern university and has played a pioneering role in the development of education, science, and technology in Korea.
At Soongsil University, I am currently pursuing an Integrated B.S./M.S. program in Life Science and Bioinformatics. The program combines interdisciplinary training in molecular biology, computer science, and statistics, with a focus on data-driven biomedical research.
During my undergraduate years, I served as the Vice President of the Student Council in the Department of Chemistry, which helped me develop leadership and collaboration skills. Driven by my interest in data-driven biology, I joined a Laboratory for Single Cell Systems under the supervision of Professor Junil Kim [lab homepage], where I contributed to projects involving scRNA-seq analysis.
Currently, my master’s research focuses on developing a computational tool for detecting multiplets in scRNA-seq data using latent Dirichlet allocation (LDA).
Research Experience
Laboratory for Single Cell Systems
Research Assistant under Prof. Junil Kim
Sept. 2023 - Present
- Conducting research on gene regulatory network (GRN) controllability using developmental scRNA-seq data from zebrafish; manuscript in preparation.
- Developing a computational tool to detect multiplets in scRNA-seq data and infer cell type combinations using LDA (latent Dirichlet allocation).
- Contributed to the Deepdoublet project by designing simulation pipelines and performing benchmarking analysis (Genomics & Informatics, 2024).
- Managing Linux server environments for collaborative research.
Project
Finding TNBC-specific transition driving events using scRNA-seq data
Graduate Course 2025 Spring, Personal project at Analysis of Single Cell Genomics
Identified key transcriptional regulators in triple-negative breast cancer using single-cell transcriptomics and pseudotime inference tool.
Evaluation of Deconvolution tool Using Image Based Spatial Transcriptomics data
Graduate Course 2024 Fall, Personal project at Analysis of Spatial Transcriptomics
Evaluated cell2location, which is a deconvolution tool, on Ovarian cancer CosMx data, creating a Visium-like(pseudo-Visium) dataset.
Configuration of a light LLM model
2025 Spring, Personal project inspired by a YouTube tutorial
Built an LLM model that can run locally on MacBook, using the novel Harry Potter as input text. [Link]
Predicting EPL winner using a Random Forest model
Undergraduate Course 2024 Spring, Personal project at AI in Bioinformatics
Constructed feature using TransferMarket data and defined two major indicators. Trained a random forest model on past season data to predict the English Premier League champion. [Link]
Publications
*: Co-first author, †: Corresponding author
Linbu Liao, Junyoung Kim, Kanghee Cho, Junil Kim, Byung-Kwan Lim†, Kyoung Jae Won†. DeepDoublet identifies neighboring cell dependent gene expression. Genomics & Informatics. 22, 30 (2024). [Link]
A Little More About Me
Outside of my academic and research work, I enjoy activities that keep me curious and balanced.
- Jogging and Running along the riverside.
- Brewing coffee and exploring several beans.
- Trying out new recipes and enjoying delicious food.
- Traveling and discovering new places.
Here’s a peaceful scene I encountered during one of my trips — a quiet temple deep in the forest with a gentle sign that reads
그대 발길 돌리는 곳 (A place where your footsteps pause).
