Teaching

Texas A&M University

  • STAT 414: Mathematical Statistics I. Fall 2021/2022/2023/2024
    Undergraduate-level introduction to the theory of probability. Topics include basic probability theory, random variables and their distributions, random vectors, expectations and variance, and basic limit theorems.

  • STAT 415: Mathematical Statistics II. Spring 2022/2023/2024
    Undergraduate-level introduction to the theory of statistics, including point estimation, confidence intervals, hypothesis testing and Bayesian inference.

  • STAT 695: Frontiers in Statistical Research: Statistical Inference for Network Data. Spring 2023
    Graduate-level overview on recent research developments in statistical methods for network data, with focus on low-rank network models (credits: 1).

  • STAT 689: Special topics in Network Data Analysis. Spring 2024
    Graduate-level overview on methods, models, theory and applications for network data analysis.

Johns Hopkins University

  • EN.553.414/614: Applied Statistics and Data Analysis II Spring 2020
    Graduate-level introduction to advanced linear and generalized linear regression methods.

University of Michigan (Graduate Student Instructor)

  • STATS 425: Introduction to Probability. Fall 2013

  • STATS 250: Introduction to Statistics and Data Analysis. Winter 2014, Fall 2014

  • STATS 503: Applied Multivariate Analysis Winter 2015/2016/2017

Other