Bio: Susana Constenla-Villoslada is a PhD student at the U.C. Berkeley School of Information. Before joining her PhD program, Susana worked as a research analysist for the International Food Policy Research Institute in Washington, DC. She holds a M.S. in Development Economics from Cornell University, which she obtained under a Fulbright Scholarship. She is also the recipient of the Honorable Mention Outstanding Master Thesis Award from the Agricultural and Applied Economics Association. She holds a B.S. in Agricultural Engineering, with honors, from the Polytechnic University of Madrid. Aside from research, Susana loves everything outdoors (climbing, hiking, biking...), live music, good food, and kind people.
Research: Her research focuses on combining traditional econometric methods and data sources in economics research with novel data sources and machine learning methods to help advance development economics research frontiers. To date, she has focused on the impact evaluation of big development interventions, quantitative resilience measurement, and forward-looking prediction of anthropometric based malnutrition indicators for early warning.
Fields of Interest: development economics, econometrics, machine learning, remote sensing
