aiDM 2024
I am currently a researcher at Numbers Station part of the Numbers Station Labs where I think about all things foundation models and data tasks.
Before Numbers Station, I was a PostDoc at Stanford working with Chris Ré in the Hazy Research Lab . In August of 2019, I graduated with a PhD from Paul G Allen School for Computer Science and Engineering at the University of Washington in Seattle. I was part of the Database Group and advised by Dan Suciu and Magdalena Balazinska . For my undergraduate degree, I went to Carleton College in Northfield, MN, where the city's motto is "Cows, Colleges, and Contentment" and graduated in 2013 as a Computer Science
My research interests are broadly at the intersection of artifical intelligence, foundation models, and data management. I focus on how to train, customize, and deploy foundation models to data tasks. This includes problems around data curation for training, efficient model training and inference for batch workloads, and prompting paradigms to for high performant, customized models.
aiDM 2024