I’m Christopher Loan, a PhD student at the UO’s Quantitative Research Methods in Education program and a Statistics & Data Science Consultant.
I primarily consider myself a methodologist, exploring applications of structural equation modeling, multilevel-modeling, machine learning, data visualization, & their intersections. I am in my final year of my PhD program, working on my dissertation with model-based recursive partitioning.
I’ve applied these methods in Prevention Science, Psychology,
& Education contexts, with my theoretical interests lying
at these fields’ boundaries. I use R every chance I get —
including making this
website with distill — but dabble in
Python, as well.
When I’m not on my laptop, you can find me:
disc golfing,
walking my dog,
skateboarding,
trying to play golf,
rock climbing,