Current Ph.D. Students

  1. Qingkai Dong, Ph.D. expected 2027 (joint with HaiYing Wang)
  2. Shiying Xiao, Ph.D. expected 2027: Network analytics.
  3. Zefang Min, Ph.D. expected 2026: Time series and causal inference.
  4. Xiaomin Lu, Ph.D. expected 2025: Survival analysis and artificial intelligence.
  5. Sydney Louit, Ph.D. expected 2025: Social network clustering.
  6. Zhenyu Xu, Ph.D. expected 2025: Generalized estimating equations.
  7. Yingfa Xie, Ph.D. expected 2024: Recurrent event modeling.
  8. Jun Jin, Ph.D. expected 2024 (joint with Kun Chen): Machine learning and health analytics.
  9. Surya Eada, Ph.D. expected 2024 (joint with Vladimir Pozdnyakov): Stochastic processes governed by telegraph processes.

Ph.D. Alumni

  1. Lucas Godoy, Ph.D.2024: Hausdorff–-Gaussian Process with Spatial and Spatiotemporal Applications. Placement: Postdoc rezearch, University of California Santa Cruz.
  2. Yelie Yuan, Ph.D. 2023: On assortativity of weighted directed networks. Placement: Consumer and Community Banking Risk Program Associate, JP Morgan.
  3. Zehan Yang, Ph.D. 2023 (joint with HaiYing Wang): Optimal subsampling methods for massive survival data using accelerated failure time models. Placement: Mathematical Statistician, US Food and Drug Administration.
  4. Jackson Lautier, Ph.D. 2023 (joint with Vladimir Pozdnyakov): Essays on discrete-time survival analysis with applications to securitization and consumer finance. Placement: Assistant Professor, Bentley University.
  5. Sai Ma, Ph.D. 2022: Optimal fingerprinting with estimating equations. Placement: Statistician, Vertex Pharmaceuticals.
  6. Abby Lau, Ph.D. 2022: Extreme value modeling with errors-in-variables in detection and attribution of changes in climate extremes. Placement: Postdoc researcher, University of Pennsylvania.
  7. Yan Li, Ph.D. 2021 (joint with Kun Chen): Amalgamation-based statistical learning for compositional data. Placement: Postdoc researcher, University of Michigan.
  8. Jieying Jiao, Ph.D. 2020: On Bayesian methods for spatial point processes. Placement: Senior Consultant, Travelers Insurance.
  9. Chaoran Hu, Ph.D. 2020 (joint with Vladimir Pozdnyakov): On Brownian motion governed by telegraph process. Placement: Research Scientist, Ely Lilly and Company.
  10. Wenjie Wang, Ph.D. 2019 (joint with Kun Chen): Integrated survival analysis with application to suicide risk. Placement: Research Scientist, Eli Lilly and Company.
  11. Yishu Xue, Ph.D. 2019 (joint with Elizabeth Schifano): Diagnostic methods for big survival data. Placement: Senior Consultant, Travelers Insurance.
  12. Greg Vaughan, Ph.D. 2017 (joint with Kun Chen): Stagewise generalized estimating equations. Placement: Assistant Professor, Bentley University.
  13. Yujing Jiang, Ph.D. 2017: Marginal score equations for spatial extremes with latent signals and applications to fingerprinting changes in climate extremes. Placement: Postdoc researcher, Colorado State University.
  14. Brian Bader, Ph.D. 2016: Automated, efficient, and practical extreme value analysis with environmental applications. Placement: Statistician, KPMG.
  15. Chun Wang, Ph.D. 2016 (joint with Elizabeth Schifano): Online updating methods for big data streams. Placement: Senior Analyst, Liberty Mutual Insurance.
  16. Zhuo Wang, Ph.D. 2015: Estimating equations for spatial extremes with application to detection and attribution analysis of changes in climate extremes. Placement: Assistant Professor, Shenzhen University, China.
  17. Hongwei Shang: Ph.D. 2013: A Two-step estimation procedure and a goodness-of-fit test for spatial extremes models. Placement: Statistician, HP Analytic Lab.
  18. Sy Han (Steven) Chiou, Ph.D. 2013 (joint with Sangwook Kang): Statistical Methods and Computing for Semiparametric Accelerated Failure Time Model with Induced Smoothing. Placement: Assistant Professor, Department of Mathematics and Statistics, University of Minnesota Duluth.
  19. Xiaojing Wang: Ph.D. 2011: Statistical inferences for interval censored data. Placement: Quantitative Analyst, Google New York.
  20. Marcos Prates, Ph.D. 2011 (joint with Dipak Dey): Link specification and spatial dependence for generalized linear mixed models. Placement: Assistant Professor, Departamento de Estat ́ıstica, Universidade Federal de Minas Gerais, Brazil.