Hello and welcome to my webzone!
I am currently a Teaching Assistant Professor for the Department of Statistics at the University of Illinois at Urbana-Champaign.
After a BS in Mathematics at Illinois, I completed a PhD in Statistics at Illinois with Ping Ma. I then spent four years as a Visiting Assistant Professor, then Lecturer and MS Academic Advisor for Statistics @ Illinois.
I recently spent a year as an Associated Assistant Professor and Data Analytics Program Specialist for the Department of Statistics at The Ohio State University. Go Bucks? While away from Illinois, I was an Adjunct Teaching Assistant Professor for Statistics @ Illinois where my course Statistical Modeling in R is part of the online Master of Computer Science in Data Science.
But now I have returned to spend even more time at Illinois. Yes, I have spent a lot of time at UIUC. I’m still mad they don’t use UIUC anymore. Oh well. Go Illini!
For the Fall 2020 semester I am teaching: Online.
Due to health and safety concerns, all Fall 2020 office hours will be held remotely. For STAT 432 and STAT 510 office hour schedules, please see the relevant syllabus.
If you would like to schedule a non-course related meeting, please send an email suggesting two possible times, on two different days. During this global work from home experiment, I have a strong preference for afternoon meetings. Please also indicate a brief agenda for the meeting. If possible, I will try to resolve the issue immediately via email.
University of Illinois
- STAT 400: Statistics and Probability I [sp-18] [fa-17]
- STAT 420: Statistical Modeling in R [su-17]
- Taught as part of the Master of Computer Science in Data Science program in collaboration with Coursera. I currently maintain an open-source textbook, Applied Statistics with R for use with the course. Soon to partially be released as public MOOCs on the Coursera platform.
- STAT 432: Basics of Statistical Learning [fa-20] [sp-20] [fa-19] [sp-18] [fa-17]
- STAT 510: Mathematical Statistics [fa-20]
Ohio State University
- STAT 3202: Introduction to Statistical Inference [sp-19] [fa-18]
- STAT 4194: Data Analytics Capstone [sp-19]
- Applied Statistics with R
- Still a work in progress, but the content coverage is more or less solidified. Provides an introduction to both R and regression modeling for students with undergraduate experience in probability and statistics. Currently in use for STAT 420 both in-person and online at UIUC for the Departments of Statistics and Computer Science.
- R for Statistical Learning
- Currently undergoing considerable changes and developments. Originally intended to be supplemental notes to ISL in order to provide additional R code and R Markdown examples, the text is starting to become a complete reference text for STAT 432 - Basics of Statistical Learning at UIUC for the Departments of Statistics. Target audience is advanced undergraduate students in statistics with previous experience with R and regression.
The following are brief write-ups on a variety of (often student focused) topics in an attempt to only type them once. It’s a blog, but not a blog.