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Fei-Yang Huang is a Wellcome Trust Early Career Research Fellow in the Department of Experimental Psychology at the University of Oxford. His research focuses on fundamental mechanisms of learning and decision-making, specifically elucidating the biological foundations of reward processing. Dr. Huang aims to advance artificial intelligence treatments for mental conditions. His studies explore animal choices among nutrient-defined food options in controlled laboratory settings while recording single-neuron activities related to decision-making. He employs decision theories from economics, psychology, and ecology to formalize choice behavior and apply advanced computational modeling and machine learning methods to uncover decision computations in single neurons and neural populations. His recent work has identified nutrients as biological sources that economically guide choices, contributing to significant publications in renowned journals such as PNAS and JNeurosci. Currently, he is developing a novel nutrient-choice paradigm combined with cutting-edge multichannel recording and targeted neurostimulation techniques to uncover neural decision mechanisms and develop safe, effective neuromodulation tools to restore maladaptive reward processing, which underlies various neuropsychiatric disorders.
Department of Politics and International Relations - Higher Level English requirement.