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)

Textbook

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 taught two lectures on random forests at the ECAS-SFdS school during Oct 8-13. Other lecturers included Profs. Robin Genuer, Pierre Geurts, and Nathalie Vialaneix. The school was 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)