معرفی
Dr. Xuan Cao is an Associate Professor in Statistics at the University of Cincinnati, specializing in high-dimensional Bayesian inference and statistical applications in neuroscience. Her research develops novel methods for model selection in regression and graphical models, with applications in brain connectivity analysis and disease prediction.
Research Programs:
- NIH-funded work on neuroimaging biomarkers for Parkinson's disease
- Development of network-based diagnostic tools for cognitive disorders
- Bayesian sparsity selection for Gaussian DAG models
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