864-889-0519 chg@clemson.edu

Assistant Professor, School of Mathematical and Statistical Sciences

Email: lixinyi@clemson.edu

Visit the Li Lab

20120702 单寸

Biosketch

I am currently an assistant professor in the School of Mathematical and Statistical Sciences. Before joining Clemson, I was a postdoctoral fellow at the Statistical and Applied Mathematical Sciences Institute (SAMSI) and the University of North Carolina at Chapel Hill. I completed my bachelor’s degree in mathematical statistics from Beijing Normal University (Beijing, China). I then earned a master’s degree in statistics at the University of Georgia, and a Ph.D. in statistics at Iowa State University.

Research

My research interests include, but are not limited to, precision medicine, functional data analysis, non-/semi-parametric high-dimensional regression, spatio-temporal analysis, with application to statistical genetics, neuroimaging and public health.

Publications

Cho H, Zitkovsky J, Li X, Lu M, Shah K, Sperger J, Tsilimigras MCB, and Kosorok MR. 2020. Comment: Diagnostics and kernel-based extensions for linear mixed effects models with endogenous covariates. Stat Sci. 35: 396–399. doi:10.1214/20-STS782.

Li X, Wang L, and Wang H. 2020. Sparse learning and structure identification for ultra-high-dimensional image-on-scalar regression. J Amer Stat Assoc. doi: 10.1080/01621459.2020.1753523.

Li X, Wang L, and Nettleton D. 2019. Additive partially linear models for ultra-high-dimensional regression. Stat. 8: e223. doi: 10.1002/sta4.223.

Li X, Wang L, and Nettleton D. 2019. Simultaneous sparse model identification and learning for ultra-high-dimensional additive partially linear models. J Multivar Anal. 173: 204-228. doi: 10.1016/j.jmva.2019.02.010.

Li, X., Fang, W. and Lin, W. (2014) Comparison of interpolation methods for tropical cyclone track and intensity over Northwestern Pacific basin. Journal of Beijing Normal University (Natural Science), 50(2), 111–116.