Max Goplerud

Max Goplerud serves as an Assistant Professor in the Department of Political Science, where his research centers on Computational Social Science. This interdisciplinary field integrates computational methodologies with political analysis to model complex social dynamics and political behavior.

His work bridges quantitative political science and data-driven social research, emphasizing algorithmic approaches to large-scale societal datasets. Key themes include network analysis, agent-based modeling, and machine learning applications in political contexts.

As an active faculty member, Dr. Goplerud contributes to academic instruction and research within political science, though specific advising roles or collaborative projects are not detailed in available sources.