University of South Carolina

All of my class webpages are on Blackboard: If you are one of my students, please check Blackboard regularly for announcements and class materials.

  • STAT 517: Advanced Statistical Models (Fall 2022)
    Undergraduate course covering generalized linear models (GLMs), random effects and mixed effects models, and nonparametric and semiparametric models
    [Fall ’22 Syllabus] [Fall ’22 Class Schedule]

  • STAT 714: Linear Statistical Models (Fall 2020, Fall 2021, Fall 2022)
    Graduate course covering matrix algebra, estimation and inference for linear models, Gauss Markov and generalized least squares models, and shrinkage methods
    [Fall ’22 Syllabus] [Fall ’22 Class Schedule]

  • STAT 718: High-Dimensional Data (Spring 2021, Spring 2023)
    Graduate course covering supervised learning, unsupervised learning, methodology for big data, numerical optimization, and deep learning and deep generative models
    [Spring ’23 Syllabus] [Spring ’23 Class Schedule]

  • STAT 721: Stochastic Processes (Spring 2022)
    Graduate course covering point processes, mathematical finance, Gaussian processes, reinforcement learning, Markov chain Monte Carlo (MCMC), and Dirichlet processes
    [Spring ’22 Syllabus] [Spring ’22 Class Schedule]

University of Florida

  • STA 3024: Introduction to Statistics II (Spring 2016)
    Undergraduate course covering hypothesis tests and confidence intervals (both parametric and nonparametric), one-way and two-way analysis of variance (ANOVA), simple and multiple linear regression, and categorical data analysis
    [Spring ’16 Syllabus] [Spring ’16 Class Schedule]