How a convolutional neural network sees Senator Lindsey Graham's photo (R-SC) (Left). A visualization of Lindsey Graham's image after the application of  64 filters from one layer of a VGG16 architecture CNN. (Left)
How a convolutional neural network sees Senator Lindsey Graham's photo (R-SC). A visualization of one layer of a VGG16 architecture CNN.

Welcome! For the 2017-2018 academic year I am visiting Princeton University as the Microsoft Visiting Professor at the Center for Information Technology Policy. I am Assistant Professor in the departments of Public Administration and Policy and Political Science at the University of Georgia. I am also a faculty affiliate at the Institute for Artificial Intelligence.

My research focuses on four areas:

(1) Visual political communication  - How do politicians strategically communicate with the public through images and visual media?;

(2) Algorithms, political behavior and governance - How do algorithms, such as recommender systems, shape our political beliefs? How does increasing reliance on decisions made by algorithms and artificial intelligence systems shape bureaucratic decisionmaking and political institutions?

(3) Diversity, immigration and polarization - how do demographic changes translate into political changes?  What are the political implications of an increasingly diverse society driven by immigration?; 

(4) Political economy of religion  - What roles do religious institutions and religious values play in political life?

In addition to these topics, I also have interests in political methodology focusing on empirical applications of machine learning for text and image analysis, machine learning and causal inference  and Bayesian inference.