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