Jacob Montgomery

Prof. Jacob Montgomery is a Professor of Political Science and Chair of the Political Science Concentration at the Division of Computational and Data Sciences at Washington University in St. Louis. He holds a PhD in Political Science and an M.S. in Statistical Science from Duke University, alongside a B.A. in Political Science and Mathematical Economics from Wake Forest University.

His research focuses on integrating computational methods like Bayesian analysis, machine learning, and advanced statistical techniques into core social science tasks such as measurement, causal inference, and theory testing. Key areas include American politics, social media's role in political communication, and interdisciplinary topics like AI bias and online political speech regulation.

Prof. Montgomery’s work has been published in top journals including the American Political Science Review and Political Analysis, and has received over $1 million in funding from the National Science Foundation and the Carnegie Corporation. He leads initiatives like the Political Data Science Lab and the Transdisciplinary Research Institute in Applied Data Science (TRIADS).

• Awards: 2020 Emerging Scholar Award (Society for Political Methodology)

He advises students through the Ph.D. programs in Political Science and Computational Data Science. His current projects explore disinformation mitigation on social media, multilingual AI models for ideology measurement, and ethical AI frameworks.