Teaching

University of South Carolina

  • STAT 714: Linear Statistical Models (Fall 2020, Fall 2021)
    Graduate course covering matrix algebra, estimation and inference for linear models, Gauss Markov and generalized least squares models, and shrinkage methods
    [Fall ’21 Syllabus] [Fall ’21 Class Schedule]

  • STAT 718: High-Dimensional Data (Spring 2021)
    Graduate course covering supervised and unsupervised machine learning, optimization algorithms for big data, sparse statistical modeling, and structured sparsity regularization
    [Spring ’21 Syllabus] [Spring ’21 Class Schedule]
    [Some nice plots made by students in STAT 718]

  • STAT 721: Stochastic Processes (Spring 2022)
    Graduate course covering mathematical finance, point processes, Markov chain Monte Carlo, Gaussian processes, clustering, Bayesian nonparametrics, and big data algorithms
    [Spring ’22 Syllabus]

University of Florida

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