Expertise

Cancer

Neurodegenerative Diseases

Statistical Bioinformatics

Mixed Effects Models

Pathway Analysis

Her research interest is to develop effective statistical models for the analysis of high throughput genomics datasets. Her recent work includes development of mixed effects models for pathway-based analysis of gene expression datasets and genome-wide association studies. Over the past 11 years, Dr. Wang has also collaborated with clinical and basic science researchers on a variety of projects ranging from basic science and high-throughput genomics to clinical trials.


Dr. Wang's research interest is to develop effective statistical models for the analysis of high throughput genomics datasets. Her recent work includes development of mixed effects models for pathway-based analysis of gene expression datasets and genome-wide association studies, as well as new statistical models for analyzing DNA methylation datasets.

Links

Organizational Affiliations

UMMG Department of Public Health Sciences Research, Miller School of Medicine, Medical Campus, University of Miami

Miller School of Medicine, Medical Campus, University of Miami

Education

Biostatistics
2004, PhD, University of North Carolina at Chapel Hill
Biostatistics
2000, MS, University of North Carolina at Chapel Hill
Mathematics
1998, BA, Temple University