I am a data manager at the QoG Institute, housed within the Department of Political Science at the University of Gothenburg. My research interests lie in quantitative social science, focusing on historical political development and contemporary issues at the intersection of poverty, aid, and conflict. Currently, I am completing my master’s thesis on the impact of Chinese and World Bank development aid on poverty reduction in Africa.
With a deep interest in computational social science, I am preparing to apply to PhD programs to further develop myself as a methodologist. My primary focus lies in advancing analytical and AI-driven approaches to tackle complex social issues, with a particular emphasis on integrating geospatial data and causal machine learning for deeper insights.
MSc in Applied Data Science
University of Gothenburg
MSc in Political Science (Welfare Policies and Management)
Lund University
BA in Political Science and International Relations, History
Bogazici University