About Me

I grew up in Vale, South Dakota, a small town of 114 people just north of Rapid City. I earned my B.S. in Applied and Computational Mathematics from the South Dakota School of Mines & Technology. Drawn to the outdoors, I moved to Flagstaff and completed an M.S. in Statistics at Northern Arizona University. After working as an actuarial student in Scottsdale, I returned to graduate school and completed my Ph.D. in Statistics at Arizona State University. My dissertation (under the guidance of Dr. Randall Eubank) focused on testing pseudorandom number generators in a parallel computing environment using R and C++.

Since then, I’ve worked across academia, online education, and industry, remaining at the intersection of statistics, data science, AI, and education. I specialize in making statistical thinking approachable and useful, helping audiences from beginners to executives understand and apply complex ideas. My work blends theory and computation with a strong emphasis on problem framing and interpretation.

Lately, I’ve helped organizations improve data workflows, adopt reproducible practices, and integrate AI and automation into their work. You can learn more on my LinkedIn profile. I also enjoy hiking, traveling, pickleball, reading, and rowing on my Hydrow.