Xiaotian Dai
Assistant Professor
Mathematics
Office
STV Stevenson Hall 313
Office Phone
Email
- About
- Awards & Honors
- Research
Current Courses
MAT 350.001 Applied Probability Models
MAT 448.001 Applied Probability Models
MAT 455.001 Applied Stochastic Processes
MAT 350.001 Applied Probability Models
MAT 448.001 Applied Probability Models
MAT 448.003 Applied Probability Models
MAT 458.001 The Design Of Experiments
Research Interests & Areas
My research interests are in developing new statistical methods for high-throughput and complex genomic, transcriptomic, and epidemiologic data. I have been broadly interested in Bayesian statistical methods, high-dimensional data variable selection, functional data analysis, and other statistics/biostatistics areas.
IMS New Researcher Travel Award
Institute of Mathematical Statistics
2024
Journal Article
Dai, X., Acosta, N., Lu, X., et al (2024). A Bayesian framework for modeling COVID-19 case numbers through longitudinal monitoring of SARS-CoV-2 RNA in wastewater. Statistics in Medicine, 43(6): 1153-1169.
Dai, X., Lu, X., & Chekouo, T. (2023). A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease.
Statistical Methods in Medical Research, 32(8): 1616-1629.
Statistical Methods in Medical Research, 32(8): 1616-1629.
Grants & Contracts
Advancing Predictive Models with SDOH Integration in Healthcare. Connected Communities Initiative (OSF HealthCare and ISU). Local. (2024)