My methodological interests include causal inference, spatial econometrics, geographic information sciences, predictive modeling/forecasting, data visualization, and R packaging . I also enjoy playing soccer, hiking, camping, and cooking on my free time.
Technical Skills
Statistics
Hypothesis Testing, Regression, Spatial Statistics, Network Analysis, Time-Series Analysis, Trend Forecasting, Matching, Causal Forest,
Machine Learning
Classification/Multinomial/Linear/Poisson Models, PCAs, k-NNN, Meta-Learners (causal ml)
Research Design
Survey methodology: Qualtrics, Amazon Turk
Qualitative methodology: QCA, Ethnography
Computing
R, Python, PySpark, Sparklyr, Stata, SPSS, SQL, DOT, Excel
Data Visualization
R Shiny, Plotly, Tableau, ggplot2, matplotlib, ArcGIS, QGIS, markdown, LaTeX, ggmaps, GoogleViz, Graphviz
Education
2009 - 2016
University of Southern California
PhD Political Science
MA International Relations
Certificate of Quantitative Research Methods
2011, 2012, 2014
Interuniversity Consortium for Political and Social Research, Summer Program Fellow
Advanced methods for quantitative social science
2004 - 2008
Indiana University - Bloomington
Political Science
International Studies
Certificate in Central Eurasian Studies