Quentin Huys

Quentin Huys

Max Planck & UCL, UK

Quentin Huys


Quentin Huys is professor of Computational Psychiatry in the Division of Psychiatry and the Institute of Neurology at University College London. He is also the deputy director of the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and a consultant psychiatrist with Camden and Islington NHS Foundation Trust. Quentin did his undergraduate at Gonville and Caius College, Cambridge University, followed by a MB/PhD at UCL Medical School and the Gatsby Computational Neuroscience Unit with Peter Dayan. After postdoctoral research at the Center for Theoretical Neuroscience at Columbia University, he undertook his psychiatry residency at the Hospital of Psychiatry in Zurich and was as a senior research fellow at the Translational Neuromodeling Unit, which is part of both ETH Zürich and the University of Zürich. 

In his work, prof. Huys focuses on developing computational tools for clinical applications in psychiatry. His team’s latest contributions include identifying the interference between Pavlovian and instrumental control as a predisposition to risky alcohol use in young adulthood, and describing how clinical symptom reduction in patients with borderline personality disorder can be predicted by the BOLD signal in the amygdala. Their research relies on bridging the fields of psychiatry, neuroscience, machine learning and statistics and utilizes tools such as fMRI, EEG, cognitive tasks, and computational modeling. 

As a Deputy Editor of the Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, prof. Huys also leads the journal’s Computational Psychiatry series where he offers commentaries on novel methodological aspects in the field as well as current and potential best practices. 

Selected Publications

Huys, Q. J., Maia, T. V., & Frank, M. J. (2016). Computational psychiatry as a bridge from neuroscience to clinical applications. Nature neuroscience19(3), 404–413.

Huys, Q. J., Eshel, N., O'Nions, E., Sheridan, L., Dayan, P., & Roiser, J. P. (2012). Bonsai trees in your head: how the pavlovian system sculpts goal-directed choices by pruning decision trees. PLoS computational biology8(3), e1002410.

Guitart-Masip, M., Huys, Q. J., Fuentemilla, L., Dayan, P., Duzel, E., & Dolan, R. J. (2012). Go and no-go learning in reward and punishment: interactions between affect and effect. NeuroImage, 62(1), 154–166.

Dayan, P., & Huys, Q. J. (2009). Serotonin in affective control. Annual review of neuroscience32, 95–126.

More information

Applied computational Psychiatry Lab

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