Isaac Mehlhaff’s research focuses on questions in public opinion and political psychology. As a computational social scientist, he develops and utilizes rigorous methods in natural language processing, machine learning, and Bayesian methods, with a focus on high-quality measurement.

Prior to joining the university, Mehlhaff was an Assistant Professor at the University of Texas, Austin. He earned his PhD in Political Science at the University of North Carolina at Chapel Hill in 2023.