In my time at Oregon State, I worked on all sorts of things from Microsoft Office products to DeepMind's Alphastar to the variation in human cognitive styles when problem solving digitally. However, the most impactful experience was learning how to write well. My PI, Dr. Margaret Burnett was very strict about writing clearly and succinctly; arguing that the measure of a paper wasn't how few people could understand it, but how many.

To the left, you can see the presentation I gave in 2019 on my first summer of research!

After-Action Review for AI (AAR/AI)

Finding AI’s Faults with AAR/AI: An Empirical Study

Keeping it "organized and logical": after-action review for AI (AAR/AI)

Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches

Halfway through my freshman year at Stanford, I was invited by a PhD student to join the Stanford Vision Lab, assisting in the development of a benchmark dataset for Embodied Artificial Intelligence, similar to Dr. Li's previous work with ImageNet.

Together we authored Behavior 1-K which we published at CoRL '23 to a Best Paper nomination.