Students

Doctoral Students Supervised

  1. Advisor of Dario Nappa, “Bayesian Classification Using Bayesian Additive Regression Trees,” Ph.D. in Statistical Science, SMU, 2008.
  2. Co-advisor of Saeed Abu Nimeh (Advisor: S. Nair), “Phishing Detection Using Distributed Bayesian Additive Regression Trees,” Ph.D. in Computer Science, SMU, 2008.
  3. Advisor of Ke Wang, “Estimating Cumulative Distribution Functions from JPS Data with Empty Strata and Analyzing High-Throughput Data via Hierarchical Bayesian Spatial Modeling,” Ph.D. in Statistical Science, SMU, 2012.
  4. Advisor of Miao Zang, “Bayesian Meta-Analysis of Pathway Enrichment Analysis,” Ph.D. in Statistical Science, SMU, 2012.
  5. Co-advisor of Holly Stovall (Advisor: L. Stokes), “Ranked Set Sampling and Its Applications in Educational Statistics”, Ph.D. in Statistical Science, SMU, 2012.
  6. Advisor of Ou (Chris) Bai, “Two Topics in Statistics: Bayesian Meta-Analysis of Rare Binary Advent Events & Use of Ranked Set Sampling with Randomized Block Designs,” Ph.D. in Statistical Science, SMU, 2014.
  7. Advisor of Wentao Lu, “Meta-Analysis Approaches to Combine Multiple Gene Set Enrichment Studies,” Ph.D. in Statistical Science, SMU, 2016.
  8. Co-advisor of Soohyun Ahn (Advisor: J. Lim), “Imbalance under RSS-structured Cluster Randomized Design,” Ph.D. in Statistics, Seoul National University, 2016.
  9. Advisor of Lie (Nathan) Li, “Development of Meta-Analysis Methods in Biomedical Studies,” Ph.D. in Statistical Science, SMU, 2017.
  10. Advisor of Mumu Wang, “Using Ranked Set Sampling with Binary Outcomes in Cluster Randomized Designs,” Ph.D. in Statistical Science, SMU, 2017.
  11. Advisor of Xue (Lily) Li, “Rank Aggregation Methods in Genomic Applications,” Ph.D. in Statistical Science, SMU, 2017.
  12. Advisor of Gaoxiang (Douglas) Jia, “Developing Statistical Methods for Data from Platforms Measuring Gene Expression”, Ph.D. in Biostatistics, SMU-UTSW, 2018 (Co-advised with G. Xiao).
  13. Advisor of Chiyu (Victor) Zhang, “Inference of Heterogeneity in Meta-analysis of Rare Binary Events and RSS-structured Cluster Randomized Studies”. Ph.D. in Statistical Science, SMU, 2019.
  14. Advisor of Guanshen Wang, “Bayesian Semi-supervised Keyprhase Extraction and Jackknife Empirical Likelihood for Assessing Heterogeneity in Meta-analysis”, Ph.D. in Statistical Science, SMU, 2020.
  15. Advisor of Shen Yin, “Statistical Modeling of High-throughput Sequencing Data and Spatially Resolved Transcriptomic Data”, Ph.D. in Biostatistics, SMU-UTSW, 2020 (Co-advised with G. Xiao).
  16. Advisor of Can Xu, “Ultra-high Dimensional Bayesian Variable Selection with LASSO-Type Priors”, Ph.D. in Statistical Science, SMU, 2021.
  17. Advisor of Danyi Xiong, “Bayesian Multiple Instance Learning with Application to Cancer Detection Using TCR Repertoire Sequencing Data”, Ph.D. in Biostatistics, SMU-UTSW, 2021.

Current  Ph.D. Students

  • Ming Zhang, Statistics
  • Jackson Barth, Statistics
  • Yuqiu Yang, Biostatistics