I'm a graduate student at Stanford with a concentration in machine learning and a minor in creative writing. I'm interested in shaping datasets to make deep learning more accesible to domain experts in fields like medical imaging.

I'm currently a research assistant in the Stanford AI Lab with Chris Ré, building multi-task/weak supervision systems in Snorkel.
Most recently, I worked on the data engine for training neural networks on Autopilot vision team at Tesla.
In the past, I worked at Sift Science to fight fraud with machine learning, Xbox to build virtual reality experiences, and EMGuidance to build point-of-care healthcare tools.
At Stanford, I had a lot of fun co-directing TreeHacks, the university's flagship hackathon.
I also love reading, writing, and photography!