At Department of Statistics:

STAT 546 (Machine Learning for Data Science)

STAT 542 (Statistical Learning)

STAT 432 (Basics of Statistical Learning)

STAT 400 (Statistics and Probability I)

STAT 420 (Methods of Applied Statistics)

I wrote this textbook for my learning courses: 

Statistical Learning and Machine Learning with R 

At Carle Illinois College of Medicine:

Data Science Project (2021 - )

Foundations: Molecules to Populations (2018 - 2022)

Other Course/Lectures:

• [Fall 2023] I will be teaching two lectures on random forests at the ECAS-SFdS school, during Oct 8-13. Other lecturers include Profs. Robin Genuer, Pierre Geurts and Nathalie Vialaneix. This is jointly organized by Profs. Jean-Michel Poggi and Robin Genuer.

• Random Forest Tutorial (Part I, Part II, Part III, RLT package example [source file])

• [Summer 2018] Mayo-Illinois CompGen Workshop (Slides, examples.rmd, examples.pdf, prostate.RData)