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University of Michigan School of Information

Dallas Card

Dallas Card

Assistant Professor of Information, School of Information Email: Phone: 734/764-5876
Office: School of Information/105 S. State Street Faculty Role: Faculty Potential PhD Faculty Advisor: Yes Personal website


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.


Headshot of new faculty Dallas Card. He joined UMSI in January 2022 as an assistant professor.
Meet Dallas Card: New assistant professor for UMSI

Dallas Card joined the University of Michigan School of Information as an assistant professor in January 2022. Card’s research focuses on making machine learning more reliable and responsible, and how to gather societal insights from historical text records.

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Dallas Card, Sabina Tomkins and Jeff Sheng
UMSI welcomes new 2021-22 faculty

Three new assistant professors and 16 lecturers will join the University of Michigan School of Information faculty this academic year, including five 2021 grads of UMSI degree programs.

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