MOE

I'm Moe, a database researcher and PhD student at the University of Washington, Seattle... I currently work on applying of large language models to data discovery tasks such as table annotation. Previously, I worked graph compression methods, which accelerate graph analysis 10-100⨉ while introducing a minimal approximation error. I have also worked on automated machine learning (autoML), which allows for selecting performant and robust machine learning models. As well as causal inference, which aids analysts in finding true cause-and-effect relationships in complex data... My work has found real-life applications at places from large enterprises, such as Microsoft Research, to small startups such as Virta Labs.

Primary location: Seattle United States