Seoyoun’s research interests lie in the use of genomic language models to investigate non-coding variants in the human genome. She is particularly interested in leveraging deep learning to predict the disease risk on non-coding variants and in exploring model architectures that can capture biologically meaningful patterns. She hopes to contribute to a deeper understanding of the functional roles of noncoding regions in human disorders.

Education & Training

• 2023-present B.Sc., Biosystem and Biomedical Sciences, Korea University
• 2023-present B.Sc., Department of Statistics, Korea University

Awards

• Undergraduate Scholarship, Dooeul Foundation