Fernando Martel Garcia is currently the Principal Data And Applied Sciences Manager at Microsoft Inc., formerly a Research Fellow in the Department of Global Health and Population at Harvard University and the Technical Founder of Cambridge Social Science Decision Lab Inc. Fernando’s research focuses on the comparative political economy of public service provision in developing countries. His interests range from macro questions of how regime types affect health outcomes, to micro questions of local accountability and access to sanitation, piped water and electricity in Mexico. Where possible he tries to state theories and testable predictions using the formal tools of rational choice and game theory. Open to any methodology that gives the most statistical power for given data and resources, Fernando is primarily motivated by policy questions. His methodological work focuses on causal inference and research design. He has ongoing work on causal inference in time series cross section, randomization for social experiments, and external validity. He received his PhD in political science from New York University in 2010.
Fernando Martel Garcia is currently the Principal Data And Applied Sciences Manager at Microsoft Inc., formerly a Research Fellow in the Department of Global Health and Population at Harvard University and the Technical Founder of Cambridge Social Science Decision Lab Inc. Fernando’s research focuses on the comparative political economy of public service provision in developing countries. His interests range from macro questions of how regime types affect health outcomes, to micro questions of local accountability and access to sanitation, piped water and electricity in Mexico. Where possible he tries to state theories and testable predictions using the formal tools of…