Fei-Yang Huang

Fei-Yang Huang is a Wellcome Trust Early Career Research Fellow at the University of Oxford's Department of Experimental Psychology and a Junior Research Fellow at Wolfson College. His research focuses on the neurophysiology of reward, learning, and decision-making mechanisms.

His research interests span Learning and Decision-Making, Reward Processing, Neural Decision Mechanisms, and Computational Neuroscience. Huang uses decision theories from economics, psychology, and ecology to formalize choice behavior, applying advanced computational modeling and machine learning methods to uncover decision computation in single neurons and neural populations.

His recent work has identified nutrients as biological sources of economic values that guide choices (PNAS, 2021) and reinforcement learning (JNeurosci, 2023). He combines nutrient-choice paradigms with multichannel recording and targeted neurostimulation to uncover neural decision mechanisms.

• Wellcome Trust Early Career Research Fellow

Huang collaborates with researchers including Fabian Grabenhorst, Mark J. Buckley, Matthew Rushworth, and Nima Khalighinejad. He co-organizes the BEACON Seminar series and is active in the neuroscience community, particularly in the study of reward processing and decision-making. His work bridges neuroscience with applications for advancing artificial intelligence and treatments for mental conditions.