معرفی
Rui Kuang is a Professor in the Department of Computer Science and Engineering and holds a cross-appointment in Genetics at the University of Minnesota. His research focuses on applying computational methods to address complex problems in cancer genomics, neuroimaging, and spatial transcriptomics. Kuang’s work often integrates machine learning with biomedical data analysis to develop predictive models and biomarker discovery frameworks.
- Key Research Areas:
- Machine Learning for Biomedical Data
- Spatial Transcriptomics
- Cancer Phylogenetics
- Neuroimaging Biomarkers
Recent Research Trends: Kuang’s 2024 publications emphasize computational pipelines for neuroimaging analysis, graph-guided decomposition techniques in spatial transcriptomics, and adaptive machine learning models for gene expression prediction. His work bridges algorithmic innovation with clinical applications in neurotrauma and cancer.
- Grants and Projects:
- NSF-funded informatics project on spatial transcriptomes
- DoD collaboration on blast exposure biomarkers
- VA research on chronic neurotrauma effects
