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Dan Bang is an Associate Professor at Aarhus University, specializing in Clinical Medicine within the Center of Functionally Integrative Neuroscience. His research focuses on employing a multi-modal, cognitive neuroscience-based approach to enhance the understanding of decision-making and learning representations in humans. Bang combines behavioral testing, computational modeling, and neuroimaging techniques, including fMRI and novel methods in studying neuromodulation in the human brain. He aims to characterize the cognitive processes that underpin behavior and their neural implementations, connecting macro-scale changes in neural activity with micro-scale variations in neuromodulator levels. His guiding principle is to utilize neurobiologically-informed computational accounts of human cognition and behavior to improve the classification, prediction, and treatment of mental health disorders. Bang's work has gained attention for its innovative methodologies and comprehensive understanding of human cognition.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.