Undergraduate-level course introducing probability distributions, inference and linear regression for biology majors.

Graduate-level course on Bayesian computation and optimization algorithms. Delivered two lectures on Introduction to Hierarchical Dirichlet Processes.

Graduate-level course covering multiple, nonlinear, logistic and robust regression, principal component analysis, and analysis of covariance.

Graduate-level course introducing statistical computing and programming using R and Python.

Graduate-level course covering principles of experimental design, multiple regression, nonparametric methods, and sample surveys.

Graduate-level course on the theory of statistical inference.

Undergraduate-level course on probability distributions and inference for statistics majors.