Prof. Wade Fagen-Ulmschneider is a Teaching Associate Professor of Computer Science at the University of Illinois at Urbana-Champaign (UIUC). With a passion for data, he often teaches thousands of students each year in his courses on Data Structures, Data Visualization, and Data Science. He was selected as one of the National Academy of Engineering’s Frontiers of Engineering Education scholars, awarded the Collins Award for Innovation Teaching, and has been consistently ranked as an excellent instructor by his students for the past ten years. His work on data visualizations has been used by governors of multiple states, featured by websites including Popular Mechanics and The Verge, and has been viewed by millions of readers. [Full Curriculum Vitae, PDF]
I post updates about my work across various social media and you can follow me on any/all of them for updates: profwade_, profwade, profwade, and wadefagen. Additionally, I maintain a monthly e-mail list where I share updates on all of my work (both Illinois and beyond) that you can subscribe to for a once-monthly update. Finally, you can also reach me at waf@illinois.edu.
I believe that world-class education is education that is worth creating and worth sharing. Education should be creative, exploratory, and fun — all of my courses contain projects with significant "creative components" where you create something original and unique that you can share with others.
Additionally, I believe in free, open-access to educational materials and you will find a collection of my course notes and videos of lectures on each course website.
I've been privileged to be able to share computer science, data visualization, and data science with thousands of people live, and millions of readers through data visualizations.
Interactive, data-forward visualization of publicly-reported COVID-19 data from Big Ten schools. Customizable views of confirmed cases, tests administered, test positivity, and more. Updated daily.
View the "COVID-19 Among Big Ten Conference Schools" visualization >>
Data-Forward Collegiate COVID-19 Analysis >>
I have started organizing my work with students as part of a Data Science Research Collaborative called d7. We’re just getting this collaborative started, but already have some fantastic work and so much more in the pipeline!
d7: Data Science Research Collaborative >>
The best way to reach me is by e-mail (waf@illinois.edu). Alternatively:
