I am a strong believer in open-learning, and so I’ve placed most of my teaching material online.

These three classes cover a statistical programming sequence:

• R for Data Science I
• R for Data Science II
• Advanced R

These three classes cover an introductory Statistics sequence:

• Introductory Statistics
• Intermediate Statistics
• Regression

The following contains some lecture notes I created to present to my research group on genetic data analysis:

• Genetic Data Analysis

I have also mentored students in the past. I am particularly proud of my Master’s students who wrote theses with me:

• Sun, R. (2020). Estimating preferential pairing in polyploids. Master’s thesis. American University. p. 1–47. doi:10.57912/23856744 | ProQuest:2436381968

• Matoka Nana, K. (2023). Exact tests for random mating in autotetraploids. Master’s thesis. American University. p. 1–38. doi:10.57912/23504199 | ProQuest:2808426065

• Thakkar, M. (2023). Bayesian tests for segregation distortion in experimental tetraploid populations. Master’s thesis. American University. p. 1-58. doi:10.57912/24256936 | ProQuest:2847679939