Jihye Lee
Graduate Student
Graduate student researching disease heterogeneity and genetic feature discovery using machine learning.
Deep Learning
Genetic Associations
Disease Heterogenetiy
Gene Latent Features
Precision Medicine
Jihye Lee joined the Tanigawa lab at UCLA in 2025 as an MS Bioengineering student. Her research focuses on uncovering latent structure in genetic association data and characterizing disease heterogeneity using machine learning and deep learning models.
Current Projects
- T2D Decomposition: matrix factorization and component based analysis of genetic associations for Type II Diabetes