Dallas Card

Research Areas

Biography

Dallas Card is an Assistant Professor in the School of Information, where he works at the intersection of machine learning, natural language processing, and data science. Prior to joining the University of Michigan, he was a postdoctoral scholar with the Stanford NLP group and Data Science Institute. He holds a PhD in Machine Learning from Carnegie Mellon University.

Areas of interest

I am broadly interested in how we can use machine learning and natural language processing to learn about the present and the past, methods for more reliable and responsible data science, and understanding the impacts that these technologies are having on the world.

News about Dallas Card

Card wearing glasses and a light purple button-down shirt standing outdoors with his arms crossed, looking at the camera.

Using AI to Make a Century of Congressional Speeches Searchable and Analyzable

UMSI assistant professor Dallas Card uses AI to transform the Congressional Record into a searchable dataset, expanding access to more than a century of political speech and enabling new insights into public discourse and accountability.

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