I am a data scientist developing R software and Shiny applications to model global financial data, network, and infrastructure demand. As an intern at RStudio, I contributed open-source software for peer review in data science courses via the ghclass R package.

Previously, I worked as a data scientist and postdoctoral researcher at the Hertie School Data Science Lab and SCRIPTS Data and Methodology Center. My research focuses on conflict processes and computational social science. Recent projects explore the estimation of territorial control in civil war, dynamics of migration, and spatiotemporal patterns of states’ economic power.

I served as the Director of Research and Training for USC’s Security and Political Economy (SPEC) Lab and teach math for social science, data management, and visualization.

News

[2021-02-24] My article “Territorial control in civil wars: Theory and measurement using machine learning” has received the Journal of Peace Research Best Visualization Award 2020. Code 💫 here.

[2020-02-18] I gave a lighting talk at rstudio::conf 2020 on peer review with ghclass. View the recoding 🎥 here.