Nick Eubank is an Assistant Research Professor in Duke’s Department of Political Science and the Social Science Research Institute (SSRI), where his work explores political accountability through topics such as gerrymandering, social networks, election administration, and the intersection of race and incarceration. His research has appeared in top journals including the American Political Science Review, Political Analysis, Quarterly Journal of Political Science, Political Science Research and Methods, and the Election Law Journal.
In addition to his research, Eubank plays a leading role in data science education at Duke. He serves as Director of the Master in Interdisciplinary Data Science (MIDS) program, is the program’s Director of Graduate Studies, and acts as Associate Director of the Rhodes Information Initiative. Across these roles, he is deeply committed to helping students from diverse backgrounds build the skills they need to use data science for real-world impact.
Eubank teaches several cornerstone courses in the MIDS curriculum, including Practical Data Science—a hands-on, flipped-classroom course focused on working with messy, real-world data—and Causal Inference and Solving Real Problems with Data, which helps students move from theoretical understanding to applied problem solving. He also leads an annual Computational Methods bootcamp for incoming graduate students in Political Science and Sociology.
Building on his teaching experience, Eubank co-developed a five-course Coursera Specialization, Programming for Python Data Science: Principles to Practice, alongside colleagues Kyle Bradbury, Drew Hilton, and Genevieve Lipp. He is currently working on an intermediate-level data science textbook that emphasizes critical thinking and applied problem solving.