Research
Curriculum Outcomes in Applied Analytics
Multi-year study of student employment outcomes for applied-data majors at regional universities.
Read paper →I teach at the University of Wyoming, where my work sits at the intersection of economics, information management, and the classroom. I'm interested in how students learn to use data honestly — and how I can build courses that make that habit stick for the next thirty years of their careers.
A rotation of undergraduate and graduate courses focused on data, decision-making, and how information moves through organizations. Replace the courses below with your actual catalog — I've filled them in as plausible placeholders.
An undergraduate introduction to working with data — Excel through SQL, framing problems, and communicating findings to non-technical audiences.
How firms structure, store, govern, and act on the data they collect. Database concepts, ethics of data collection, and a semester-long applied project with a partner organization.
Markets, incentives, and how prices coordinate behavior — taught with as much real-world data and as little chalkboard algebra as I can manage.
A graduate course for working professionals on reading evidence, sizing uncertainty, and making decisions when the data is messy — which it always is.
Multi-year study of student employment outcomes for applied-data majors at regional universities.
Read paper →A nutrition planning tool for endurance athletes built to translate workout intensity into fueling recommendations.
View project →A short essay on why most KPI dashboards mislead their viewers — and what to do instead.
Read essay →Invited talk at the regional CoB faculty symposium on building data fluency through repetition, not tooling.
View slides →"The best way to predict the future is to build it — one day, one decision, one dataset at a time."