Undergraduate Teaching

I lectured EDPSYCH 301: How People Learn, a ~110-student undergraduate lecture course at the University of Wisconsin–Madison, for three semesters (Spring 2025, Fall 2025, Spring 2026). In this course, we explore foundational cognitive and sociocultural learning theories and their applications in educational psychology.

As a community, we maintain a shared resource spreadsheet where students contribute study tools, playlists, favorite campus spots, and quotes that kept them going. This is a simple way to remind each other that learning is deeply human. With students’ permission, we keep it growing each semester. You’re welcome to take a look; something in there might brighten your day.

Graduate Teaching

I served as a teaching assistant for three courses in the Master of Science in Learning Analytics at the University of Wisconsin–Madison: EDPSYCH 575 Instructional Design for Learning Analytics, EDPSYCH 615 Conversations and Visualizations, and EDPSYCH 695 Capstone in Learning Analytics. This online master’s program helps students develop data analysis skills and bring those insights to life through visualization. Having taught all three courses twice, I supported students from design thinking through hands-on work with tools like Tableau and R, and through capstone projects where they worked with real data from real clients.

Professional Training

From 2023 to 2026, I served as a facilitator for the QE Fellows Institute, an NSF-funded intensive program in quantitative ethnography. Each summer, cohorts of early-career faculty, researchers, and practitioners come to UW–Madison for a week-long workshop. In my sessions, I teach methods including epistemic network analysis (ENA) and ordered network analysis (ONA), as well as the automated coding tool Codey.

Research Mentoring

Mentorship in our lab is rooted in cognitive apprenticeship. That’s how I’ve been mentored, and it’s how I now work with undergraduate research interns. Watching students grow through that process is one of my favorite parts of this work. Here are the Data Analytics interns I’ve worked with at the Epistemic Analytics Lab:

• 2025. Joy Hong. UW–Madison undergraduate major in statistics and computer science.
• 2024. Yahan Chen. UW–Madison undergraduate major in statistics and data science. Now pursuing M.S. in Bioinformatics, University of Washington.
• 2023. Krirk Nirunwiroj. UW–Madison undergraduate major in computer science, data science, and mathematics. Now pursuing M.S. in Computer Science, Johns Hopkins University.
• 2022. Binrui Yang. UW–Madison undergraduate major in mathematics and statistics. Now Data Scientist, Travelers.

Community Mentoring

Outside the lab, I mentor international students in a community capacity. I served on the International Students Advisory Board at UW–Madison and worked as an International Peer Mentor, as small ways of paying forward the support I received along the way.

If you’re reading this and you’re an international student in need of support, no matter which school you attend, feel free to reach out. I’m happy to help, and if I can’t, I’ll do my best to find someone who can. 🩵