Research Interests:
  • High-dimensional statistical inference
  • Statistical machine learning and data mining
  • Statistical analysis of massive networks
  • Statistical modeling in health science, information engineering, and business analytics
  • Large-scale optimization algorithms
Current Ph.D. Students
  • Amal Agarwal (Ph.D. Candidate in Statistics | Cohort: Fall 2014 | Comprehensive Exam: Summer 2017 | Expected graduation: Summer 2019)
  • Bingyuan Liu (Ph.D. Candidate in Statistics | Cohort: Fall 2016 | Comprehensive Exam: Spring 2018)
  • Xiufan Yu (Ph.D. Student in Statistics, Co-Advisor: Runze Li | Cohort: Fall 2016 | Comprehensive Exam: TBD)
  • Arun Srinivasan (Ph.D. Student in Statistics | Cohort: Fall 2017 | Comprehensive Exam: TBD)
  • Jun Tao (Ph.D. Student in Statistics | Cohort: Fall 2017 | Comprehensive Exam: TBD)
Former Ph.D. Students
  • Kevin H. Lee (Ph.D. in Statistics, 2017 | Current: Assistant Professor of Statistics at Western Michigan University)
Main Collaborators
  • Susan Brantley (Department of Geosciences, Penn State University)
  • Jianqing Fan (Department of Operations Research and Financial Engineering, Princeton University)
  • Danning Li (School of Mathematical Sciences, Jilin University)
  • Shiqian Ma (Department of Mathematics, University of California-Davis)
  • Hui Zou (School of Statistics, University of Minnesota)
  • Xiang Zhan (Department of Public Health Sciences, Penn State University)
  • Cheng Zhu (Coulter Department of Biomedical Engineering, Georgia Institute of Technology)
Software
  • Dynamic Network Analysis
    • Authors: Amal Agarwal, Kevin Lee and Lingzhou Xue
    • Maintainers: Amal Agarwal and Lingzhou Xue
    • R Shiny Application: link
  • Geoscience Network Analysis
    • Authors: Amal Agarwal, Susan Brantley, Tao Wen and Lingzhou Xue
    • Maintainers: Amal Agarwal and Lingzhou Xue
    • R Shiny Application: link