Our research interests are broad and we are always looking to tackle exciting new problems! Some current research areas include:
Statistical Areas of Interest
- Statistical methods for translational research
- Methods for high dimensional "-Omics" data
- Kernel machine methods
- Clinical trials designs
- Artificial Intelligence
- Data Integration
Application and Subject Areas of Interest
- Translational Science and Clinical Trials
- Omics data:
- Metagenomics and Microbiome Analysis
- Genetics and Genomics
- Metabolomics and Proteomics
- Spatial -oOmics
- Cancer
- Infectious Diseases
- Environmental Health, Maternal and child health, Lung and Cardiovascular diseases, Menopause
Grant Funding Support
Current
- NIH/NHLBI, R01 HL155417, "Statistical Methods for Large Scale Microbiome Studies of Cardiovascular Disease Risk," 2021-2025
- NIH/NIGMS, R01 GM151301, "Statistical Methods for Enhanced Mapping of Microbiome Relationships," 2023-2027
Completed
- NIH/NIGMS, R01 GM129512, "Joint Analysis of Microbiome and Other Genomic Data Types," 2018-2023
- The Hope Foundation for Cancer Research, "New Statistical Faculty Translational Medicine Development Award," 2013-2018