Isabel Berwian

Group Leader

Max Planck UCL Centre for Computational Psychiatry and Ageing Research

BA in Experimental Psychology, 2012, University of Oxford
MSc in Psychology, 2014, University of Zurich
PhD, 2020, University of Zurich
Licensed psychotherapist (Psychologischer Psychotherapeut) in Germany, 2021
Postdoctoral Research Associate, 2020-2025, Princeton University
Associate Professor, 2025-, Department of Clinical, Educational and Health Psychology, UCL

Theory-driven computational models of learning, memory and decision-making
The development of (data-driven) prediction algorithms for treatment outcome
Depression and anxiety disorders, and (psychological) interventions for these disorders

Berwian, I. M., Ren, Y., Pisupati, S., Ding, J., Moon, S., Chiu, J. C., Chandrasekhar, D., & Niv, Y. (2025). Selective maintenance of aversive memories as a mechanism of spontaneous recovery of fear [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/2kdtf_v1
Berwian, I. M., Hitchock, P., Pisupati, S., Schoen, G., & Niv, Y. (2025). Using computational models of learning to advance cognitive behavioral therapy. Communications Psychology, 3(1), Article 72. https://doi.org/10.1038/s44271-025-00251-4
Berwian, I. M., Wenzel, J. G., Collins, A. G. E., Seifritz, E., Stephan, K. E., Walter, H., & Huys, Q. J. M. (2020). Computational mechanisms of effort and reward decisions in patients with depression and their association with relapse after antidepressant discontinuation. JAMA Psychiatry, 77(5), 513–522. https://doi.org/10.1001/jamapsychiatry.2019.4971