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Cem Mert Dalli is a PhD student at Aarhus University whose research focuses on causal inference in contexts of interventions that are spatially connected and temporally dynamic. His work emphasizes the development of methodological approaches that combine stochastic intervention frameworks with Bayesian spatial models to account for spillovers and interference. A central part of his research involves utilizing Earth Observation data and machine learning techniques to capture local context in data-scarce environments. Substantively, Dalli's studies investigate the effectiveness of development aid and the long-term consequences of armed conflict, as well as the related political economy dynamics, with a keen emphasis on how methodological choices influence credible estimation in complex settings.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.