Dustin Wright

Background

About Dustin Wright

I’m currently a Danish Data Science Academy postdoctoral fellow at the University of Copenhagen. My research centers around socially sustainable natural language processing (NLP) with the following mission: I want to help make the world’s knowledge reliable and accessible. This includes both real-world knowledge and scientific knowledge, with additional focus on knowledge diversity. The methods I use come from machine learning and natural language processing. Reliability is concerned with the factuality and faithfulness of different types of knowledge, as well as ensuring that ML systems themselves are safe and interpretable. Accessibility is concerned with making ML systems which process different types of knowledge both efficient and sustainable. Previously I have been a visitor to the BlaBlaBlab at the University of Michigan, and was a postdoc in the Saints Lab working on sustainable AI. I did my PhD with CopeNLU where I worked on automated fact checking, automatic understanding and analysis of science communication, and domain adaptation. I received my master’s degree from University of California, San Diego, and have worked at IBM Research and the Allen Institute for Artificial Intelligence on the Semantic Scholar project. I also write sometimes on substack. Outside of science I like making music and playing table top role-playing games and rhythm games.