About

I am a PhD student in Computer Science specializing in machine learning for computational biology. My research focuses on spatial and single-cell omics, with an emphasis on developing graph-based and multimodal models for tissue-scale biological analysis. I work on problems such as spatial transcriptomics enhancement, single-cell to spatial mapping, cell-type deconvolution, multimodal data integration, and 3D reconstruction of tissue organization. My broader research goal is to develop interpretable and scalable computational tools that help bridge machine learning and biological discovery.

Research

• Computational Biology and Bioinformatics
• Machine Learning

Publications

Experience

Education