I've always been the person asking why something works the way it does. In Information Science, that turned into a bigger question: how do you take complicated information and make it clear enough that people can use it?

 

That's what I try to do in every project. I've mapped how CU's CS department schedules courses, redesigned wildfire visualizations so they're readable for colorblind viewers, and built charts that show how easy it is to mislead people with the same dataset. Right now I'm leading user research for my capstone, Algorithm Mirror.

 

I've also learned to work with data where accuracy really matters. At USLI I started on the state filing team and now intern on the Claims Litigation team. Before that, I spent two years running Division I track at CU, which taught me how to stay disciplined when the schedule gets packed.