Graduate Students

  •  Graduated Ph.D. Students

  • Jose Angel Sanchez Gomez (2023)

    Thesis Title: Estimation of Hub Structures in Individual and Multiple Gaussian Graphical Models
    Current Position: Assistant Professor at University of California at Riverside.

  • Daiqi Gao (2023; Joint with Donglin Zeng)

    Thesis Title: Learning Individualized Treatment Rules with Sequential and Multi-Outcome Data
    Current Position: Postdoctoral Fellow at Harvard University.

  • Hui Shen (2023; Joint with Shankar Bhamidi)

    Thesis Title: Consistency of Some Statistical Learning Techniques: Unsupervised Learning and Network Change Point
    Current Position: Postdoctoral Fellow at McGill University.

  • Yiyun Luo (2022)

    Thesis Title: Structure Learning and Dynamic Decision Making with Applications in Neuroscience and Business
    Current Position: Assistant Professor at Shanghai University of Finance and Economics

  • Haodong Wang (2022; Joint with Quefeng Li)

    Thesis Title: Supervised Learning for Complex Data
    Current Position: Data Scientist at Amazon

  • Weibin Mo (2021)

    Thesis Title: Efficiency and Robustness in Individualized Decision Making
    Current Position: Assistant Professor at School of Management, Purdue University

  • Peiyao Wang (2020; Joint with Dinggang Shen)

    Thesis Title: Flexible Supervised Learning for Heterogeneous Data
    Current Position: Data Scientist at Amazon

  • David Pritchard (2020 Biostatistics; Joint with Matthew Psioda)

    Thesis Title: Some Contributions in Complex Statistical Data Analysis for Classification, Feature Selection, and Human Fertility Models
    Current Position: Statistican at NoviSci

  • Zhengling Qi (2019)

    Thesis Title: Some Contributions to Data Driven Individualized Decision Making Problems
    Current Position: Assistant Professor at School of Business, George Washington University

  • Jianyu Liu (2019)

    Thesis Title: Flexible Graph-based Learning with Applications to Genetic Data Analysis
    Current Position: Data Scientist at Facebook

  • Siliang Gong (2018; Joint with Kai Zhang)

    Thesis Title: Study on Correlations in High Dimensional Data
    Current Position: Postdoc at University of Pennsylvania 

  • Leo Y. Liu (2018; Joint with Hongtu Zhu)

    Thesis Title: Advanced Statistical Learning Techniques for High Dimensional Imaging Data
    Current Position: Uber Technologies, Inc.

  • Jingxiang Chen (2017 Biostatistics; Joint with Michael Kosorok)

    Thesis Title: Machine Learning Techniques for Heterogeneous Datasets

    Current Position: Quantitative Associate at Wells Fargo

  • Guan Yu (2016)

    Thesis Title: Flexible Supervised Learning Techniques with Applications in Neuroscience

    Current Position: Associate Professor, Department of Biostatistics, University of Pittsburgh, PA

  • Yuying Xie (2015; Joint with William Valdar)

    Thesis Title: Estimation of Graphical Models with Biological Applications

    Current Position: Associate Professor, Department of Computational Mathematics, Science and Engineering, Department of Statistics and Probability, Michigan State University, MI

  • Liang Yin (2015; Joint with Shu Lu)

    Thesis Title: Confidence region and intervals for sparse penalized regression using variational inequality techniques

    Current Position: Senior Revenue Science Analyst, FedEx, Memphis, TN

  • Patrick Kimes (2015; Joint with J.S. Marron and D. Neil Hayes)

    Thesis Title: New Statistical Learning Approaches with Applications to RNAseq Data

    Current Position: Postdoc, Harvard University

  • Chong Zhang (2014)

    Thesis Title: Flexible Classification Techniques with Biomedical Applications

    Current Position: Google (Previous Position: Assistant Professor, Department of Statistics and Actuarial Science, University of Waterloo, Canada)

  • Sunyoung Shin (2014; Joint with J. Fine)

    Thesis Title: Topics on Penalized Estimation

    Current Position: Assistant Professor, University of Texas at Dallas

  • Wonyul Lee (2013)

    Thesis Title: New Statistical Learning Methods for Multiple High Dimensional Datasets

    Current Position: Research Statistician, Food and Drug Administration (FDA), MD

  • Hanwen Huang (2011; Joint with J.S. Marron)

    Thesis Title: Some Contributions to High Dimensional Statistical Learning

    Current Position: Associate Professor, University of Georgia, GA

  • Seo Young Park (2010)
    Thesis Title: Flexible Margin-based Classification Techniques
    Current Position: Associate Professor, Department of Medicine and Department of Biostatistics, University of Pittsburgh, PA

  • Xingye Qiao (2010; Joint with J.S. Marron)

    Thesis Title: Weighted Distance-Weighted Discrimination and Pairwise Variable Selection for Classification

    Current Position: Professor, Department of Mathematical Sciences, Binghamton University, State University of New York (SUNY), NY

  • Daniel V. Samarov (2009; Joint with J.S. Marron & Alex Tropsha)
    Thesis Title: The Analysis and Advanced Extensions of Canonical Correlation Analysis
    Current Position: Mathematical Statistician, Statistical Engineering Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD

  •  Current Ph.D. Students

    • Yifan Dai (Joint with Di Wu)
    • Seong Jin Lee (Joint with Will Wei Sun at Purdue University)
    • Haixu Ma (Joint with Donglin Zeng)