I am Assistant Professor in the departments of Public Administration and Policy and Political Science at the University of Georgia and am excited to be one of the newest members of the Georgia Informatics Institute. Prior to joining the faculty at UGA I was a data science fellow at the UC Berkeley School of Information and Democracy Fellow at the Harvard University John F. Kennedy School of Government. While a fellow at UC Berkeley, I had the pleasure of receiving training in computer vision and deep learning from Alexei Efros and Joan Bruna.
I have an eclectic set of substantive interests which include understanding how business interests affect policymaking processes at the state and federal levels of government in the U.S., understanding the roots of collective and religious violence internationally and how gender and race influence political processes among political actors in the U.S..
My current methods research interests include developing computational tools for dealing with the idiosyncrasies of online experiments, Bayesian experimental design and analysis, machine learning methods for text and image analysis with a special interest in Bayesian nonparametrics, hierarchical Bayesian modeling of spatial data and stochastic optimization methods. After graduating from Berkeley, I spent two awesome years in Cambridge as a Democracy Fellow at the Harvard Kennedy School of Government and am an affiliate of the Institute for Quantitative Social Science (IQSS). I also hold an AM in Statistics from the Harvard University Department of Statistics where Don Rubin was my adviser.<embed>
- Statistics of Causal Inference and Design of Experiments
- Bayesian Inference
- Machine Learning for Text and Image Analysis
- Computer Vision
- Scalable Stochastic Optimization
- Spatial Data Visualization and Analysis