Xiaotian Dai
Assistant Professor
Mathematics
![](https://illinois-state-dm-s3.imgix.net/xdai12/pci/xiaotian_dai-1.jpg?auto=format&w=150&h=225&crop=faces&fit=crop&fm=jpeg&q=90)
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- About
- Research
Current Courses
350.001Applied Probability Models
499.003Independent Research For The Master's Thesis
390.002Independent Study
400.001Independent Study
490.002Research In Mathematics, Math Ed & Applied Mathematics
351.002Statistics And Data Analysis
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.
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.