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Neural network trained to predict breast cancer malignancy using pathology measurements from my POLS 8500 Applied Machine Learning course. Accuracy tops out at ~96%. This is one of the data sets included in the "mlbench" R package.

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 and am excited to be one of the newest members of the Georgia Informatics Institute.

My substantive interests are in American Politics with a focus on bureaucracy, state, and local politics in the United States. My methods research interests include machine learning methods for text and image analysis with a special interest in Bayesian nonparametrics, and stochastic optimization methods.

I teach methods courses in applied machine learning, causal inference, research design and quantitative methods.

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Substantive Interests

  • Political economy
  • Bureaucracy
  • State and local politics
  • Political communication
  • Political violence

Methodology Interests

  • Machine Learning
  • Causal Inference
  • Network Analysis
  • Optimization
  • Algorithmic Game Theory