Teaching
Courses where I have served as a teaching assistant.
Modern Methods in Applied Statistics
Spring 2024 • Spring 2025
Final course in the PhD applied statistics sequence. Topics: graphical models, HMMs, mixture models, EM, variational EM, MCMC, particle filtering, Kalman filter, Markov random fields, decomposable graphs, message passing algorithms, Bayesian regression
Generalized Linear Models
Winter 2023
Second course in the PhD applied statistics sequence. Topics: generalized linear models, exponential family, quasi-likelihood, robust estimation, penalized GLM, mixed effect models, survival analysis
Applied Linear Statistical Methods
Autumn 2023
First course in the PhD applied statistics sequence. Topics: linear regression, factor models, factorial design, randomization, categorical inputs, categorical responses
Statistical Methods and Applications
Winter 2022 • Autumn 2023
Introductory undergraduate course in statistics. Topics: exploratory data analysis, visualization, random variation and sampling, basic probability, random variables, expectation and variance, confidence intervals, significance tests for means and proportions, chi-square tests, linear regression
Elementary Statistics
Spring 2022 • Winter 2025
Introductory undergraduate course in statistics. Topics: exploratory data analysis, sampling, analysis of means and proportions, linear association, effective and fallacious uses of statistics