Welcome to Jung Hun's Homepage
Associate Attending, Department of Medical Physics, Memorial Sloan Kettering Cancer Center. About me →
Research Interests
Machine learning and AI in Oncology
- Integration of machine learning and optimal transport
- Machine learning-based outcomes modeling using genomic, radiomic, and radiation dose-volume data
- Prediction of Oncotype-DX score in breast cancer using optimal transport and deep learning
Bioinformatics
- Differential sex effects of pregnancy-specific glycoproteins (PSGs) on survival in lung cancer
- Breast cancer subtyping using multi-omic data including DNA mutation, RNA-Seq, CNA, and histology images
Radiogenomics
- Machine learning-based modeling to predict radiation-induced toxicity using GWAS
- GI and GU toxicity in prostate cancer
- Risk of developing secondary breast cancer
Radiomics
- Network-based unsupervised modeling using radiomic data
- Survival prediction in lung and head & neck cancers
- Correlation between radiomic features and immune cell abundance (CIBERSORT)
- Outcomes modeling using deep features derived from CNN
Radiation biology
- Understanding of the difference in biological features between photon and proton irradiation using scRNA-Seq data
Recent News
- Jung Hun gave a talk at the ISMB meeting (Washington, DC).
- Jung Hun presented a poster at the ESTRO meeting (Stockholm, Sweden).
- Jung Hun presented a poster at the AACR meeting (San Diego, CA).
- Jung Hun presented a poster at the RRS meeting (San Juan, Puerto Rico).
- Jung Hun gave a talk at the RGC meeting (Barcelona, Spain).
- Jung Hun presented a poster at the AACR AI meeting (Montreal, Canada).
- Jung Hun gave a talk at the ESTRO meeting (Vienna, Austria).
- Jung Hun gave a talk at the DTE AICOMAS meeting (Paris, France).
- Jung Hun gave a talk at the RGC meeting (Aarhus, Denmark).
- Jung Hun presented a poster at the RRS meeting (Tucson, AZ).
- Jung Hun presented a poster at the ISMB meeting (Montreal, Canada).
- Jung Hun gave a talk at the ICCR meeting (Lyon, France).