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Teaching

Courses

  • Spring 2025       Applied Statistics II; Time Series Data Analysis,
  • Fall 2024           Nonparametric Statistics
  • Spring 2024      Applied Statistics II; Time Series Data Analysis
  • Fall 2023          Methods of Data Analysis
  • Spring 2023     Methods of Data Analysis
  • Fall 2022          Nonparametric Statistics
  • Fall 2021          Introductory Statistics; Statistical Machine Learning
  • Spring 2021      Introductory Statistics; Statistical Methods II
  • Fall      2020      Statistical Machine Learning
  • Spring  2020      Applied Statistics II
  • Fall      2019      Introductory Statistics; Statistical Methods II
  • Spring 2019      Applied Statistics II; Introductory Statistics
  • Fall      2018      Selected Topics in Nonparametric Statistics
  • Spring  2018     Applied Statistics II; Statistical Methods II
  • Spring  2017     Applied Statistics II; Statistical Methods II
  • Spring  2016     Applied Statistics II; Statistical Methods II
  • Spring  2015     Applied Statistics II; Statistical Methods II
  • Fall      2014      Introductory Statistics
  • Spring  2014     Statistical Theory II; Statistical Methods II
  • Spring  2013     Statistical Theory II
  • Fall      2012     Introductory Statistics

Current PhD Students

  • Yuhao Zhou.

Previous PhD Students

  • Wan Zhang (2024). Dissertation on “Statistical Learning Using Binary Expansion.”
  • Benjamin Brown (2023). Dissertation on “Every Bit as Good: Resolution-Based Inference, Binary Model Representations, and a Boolean Framework for Explainable Decisions.”
  • Siqi Xiang (2023; Joint with J. Steve Marron). Dissertation on “Binary Expansion Testing and Gait Force Analysis.”
  • Kentaro Hoffman (2022; Joint with Cynthia Rudin). Dissertation on “Borrowing from Your Neighbors: Three Statistical Techniques from Nontraditional Sources.”
  • Hang Yu (2021; Joint with Donglin Zeng). Dissertation on “Sparse Machine Learning Methods for Prediction and Personalized Medicine.”
  • Duyeol Lee (2020; Joint with Michael Kosorok). Dissertation on “Precision Finance and BERET.”
  • Siliang Gong (2018; Joint with Yufeng Liu). Dissertation on “Study on Correlations in High Dimensional Data.”
  • Hyowon An (2017; Joint  with J. Steve Marron). Dissertation on “Gaussian Centered L-moments.”
  • Kelly Bodwin (2017; Joint with Andrew Nobel). Dissertation on “Methods of Association Mining by Variable-to-Set Affinity Testing.”
  • Qunqun Yu (2017; Joint with J. Steve Marron). Dissertation on “Curve Registration and Human Connectome Data.”