Graduate Students

  Graduated Ph.D. Students 

 From UNC - Chapel Hill

• Haixu Ma (2024; Joint with Donglin Zeng)
  Thesis Title: Flexible Machine Learning and Reinforcement Learning in Decision Making
  Current Position: Meta.

• 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: OpenAI

• 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