Teaching
My teaching philosophy is simple: with appropriate guidance, every student can excel. My research on learning analytics directly informs my teaching practice, helping me understand what actually works.
My Teaching Approach
Research-Informed Practice
My research on conversational learning analytics directly informs my teaching. I understand what patterns predict learning outcomes (effective scaffolding, conceptual questions, and engagement dynamics) and apply these insights in my classrooms.
Active & Collaborative
I design courses around collaborative problem-solving with real datasets. Students work in groups and have agency to explore questions they care about.
Inclusive & Adaptive
Teaching in Botswana (where many students spoke English as a third or fourth language) and working with neurodivergent students shaped how I design accessible learning environments.
Real-World Impact
Students work with meaningful datasets and tackle real problems, connecting statistical theory to practice.
Current Teaching
STAT 251: Statistical Inference for Management I
California Polytechnic State University, San Luis Obispo
Teaching introductory statistics with a focus on helping students understand statistical reasoning beyond formulas. Emphasizing simulation-based inference, real datasets, and connecting statistical concepts to business and management contexts.
Teaching Experience
Loading...
Student Mentorship
I've mentored 10 students (2 graduate, 8 undergraduate) through Michigan's UROP program and independent research projects. Several have presented at conferences, with multiple winning Outstanding Presenter Awards. Students have gone on to graduate programs at Brown, positions at Microsoft Research and Amazon, and roles at organizations including the Federal Reserve Bank and Quantum Signal AI.