Daniel is pursuing a Ph.D. in Political Science at UC Berkeley. His broad research interests lie in the political economy of conflict and development, with a regional focus on Latin America. Methodologically, he is interested in the application of spatial econometrics and machine learning tools to causal inference. Previously, Daniel worked as a researcher for the Armed Conflict Location & Event Data Project (ACLED). He also held research and analyst positions in Colombia at Fundación Ideas para la Paz, Los Andes University, and the National Intelligence Agency. Daniel graduated with honors from Los Andes University with a bachelor’s degree in Political Science and received master’s degrees from his alma mater, New York University, and Northwestern University. His research has been supported by the Center for Sociocultural and International Studies at Los Andes University, the Fulbright Program, and the Latin American and Caribbean Studies Program at Northwestern University.