Xiaotian Dai
Assistant Professor
Office
STV Stevenson Hall 313
Office Phone
Email
- About
- Awards & Honors
- Selected Research
Current Courses
MAT 350.001 Applied Probability Models
MAT 448.001 Applied Probability Models
MAT 455.001 Applied Stochastic Processes
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
Grants and Contracts
Advancing Predictive Models with SDOH Integration in Healthcare
Maochao Xu, Mehdi Karimi, Xiaotian Dai.
Connected Communities Initiative (OSF HealthCare and ISU). July 2024 - June 2025
Journal Article
A Bayesian framework for modeling COVID-19 case numbers through longitudinal monitoring of SARS-CoV-2 RNA in wastewater
Xiaotian Dai, Nicole Acosta, Xuewen Lu.
Statistics in Medicine, 43 (6), 1153-1169, (2024), 10.1002/sim.10009
A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease
Xiaotian Dai, Xuewen Lu, Thierry Chekouo.
Statistical Methods in Medical Research, 32 (8), 1616-1629, (2023), 10.1177/09622802231181231
Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease data
Xiaotian Dai.
Journal of Computational Mathematics and Data Science, https://doi.org/10.1016/j.jcmds.2025.100127