Our Team

Serkant Adiguzel

Serkant Adiguzel is a Ph.D. student in political science at Duke. He is specializing in Political Economy with a particular interest in redistribution and regime transitions.He helps oversee validation and training of the machine models for the Peace-Project.

Andreas Beger

Andreas Beger is an independent consultant with 10 years experience in developing data-driven geopolitical forecasting systems. He has worked on projects funded by the Intelligence Advanced Research Projects Activity (IARPA), the Political Instability Task Force (PITF), the Varieties of Democracy (V-Dem) Institute, and others. He received a Ph.D. in political science from Florida State University in 2012.

Mateo Villamizar Chaparro

Mateo is a PhD student in political economy at the department of Political Science. His research interests include analyzing the politics of public goods' distribution and violence in developing countries. With an emphasis in economic development, migration, state capacity and political institutions.

Zung-Ru Lin

Zung-Ru is working as a Data Scientist that helps solve technical issues encountered. His work mainly focuses on optimizing the overall functionality and productivity within the peace project pipeline framework and implementing NLP and various supervised machine learning methods in detecting civic-space changes.

Donald Moratz

Donald Moratz is a Research Manager at the DevLab@Duke and the Department of Political Science at Duke University. His work focuses on the Machine Learning for Peace project and the integration of advanced numerical methods in political science. His substantive areas of interest are in the political economy of development as well as endogenous growth.

Diego Romero

Diego is a PhD candidate at Duke University’s Political Science Department specializing in Political Economy and Political Methodology. He is interested in issues of governance, in particular corruption and accountability. His other research interests include reintegration of deported migrants and the spatial distribution of public service delivery.

Jeremy Springman

Jeremy is a Postdoctoral Research Associate at the DevLab@Duke and the Department of Political Science. His research uses spatial data and field experiments to study the political economy of development and the influence of non-profit organizations on politics and governance in Africa. His work has received support from the National Science Foundation and an anonymous private foundation, among others.

Hanling Su

Hanling joined Devlab@Duke as a Data Scientist. She works mainly on data engineering that focuses on web scraping and data preparation. By applying machine learning and natural language processing techniques, Hanling ensures the project’s data integrity. She is also responsible for implementing the data pipeline for Machine Learning for Peace project at DevLab.

Erik Wibbels

Dr. Wibbels' research focuses on development, decentralized governance, and other areas of political economy. He has worked with USAID’s DRG Centre, USAID mission officers, AidData, RTI International, the World Bank and others on projects around the world. Erik is the PI on the Machine Learning for Peace project.

MELD Interns

Sanjit Beriwal

Sanjit Beriwal is an undergraduate student at Duke studying economics and political science. He currently works as a MELD intern for DevLab@Duke. He assists in governance research through the INSPIRES program and democratic backsliding research funded by USAID.

Jonathan Sandoval

Jonathan Sandoval is an undergraduate at Duke studying Electrical & Computer Engineering and Computer Science. He currently works as a MELD intern for DevLab@Duke. He assists in web scraping for data, while also maintaining our website.

Mike Sun

Mike Sun is a masters student at Duke studying political economy. His research interests are behavioral politics and behavioral studies on people’s reactions to information/policy changes.

Huong Vu

Huong Vu is a Master student in International Development Policy at Sanford School of Public Policy, Duke University. She is interested in international development and project evaluation. Her work focuses on poverty reduction, social safety nets and disaster risk management.

We thank Clara Suong and Joan Timoneda for earlier work on MLP. This project would not have been possible without the key contributions of Scott de Marchi and Spencer Dorsey.