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Çiçek Güven is an Associate Professor at Tilburg University, specializing in network analysis and the learning of graph structured data. With a strong mathematical foundation, her academic journey involved significant research in algebraic graph theory and combinatorics. Prior to her academic role, she gained four years of industry experience in banking and consultancy, operating as a quantitative data analyst. Her work predominantly focused on financial trade data. Dr. Güven is passionate about leveraging AI to foster inclusivity and accessibility through her research projects. Notable initiatives include the 'Child Growth Monitor' aimed at malnutrition detection in children, and the Ilustre project, which supports energy transition efforts in the Caribbean. Through the Icon project associated with the Zero Poverty Lab, she investigates the relationship between brain networks and poverty. Her research also extends to understanding the characterization of networks, exploring how their changes and substructures can illuminate insights into machine learning approaches related to graphs.
Standard requirements for LLM programs in Law and Technology, International Law, and Public Law.