Fabian M. Renz

Fabian M. Renz

Doctoral Candidate (deputy cohort representative)
Research interests: • integration of methodological approaches in cognitive science research• neurophysiological underpinnings of conscious experience • computational approaches in cognitive science • levels of analysis


Academic education

since 2020    Doctoral candidate, Max Planck School of Cognition, Leipzig, Germany
                        Doctoral research performed at the Max Planck Institutes for Human Development, Berlin, Germany and for Human Cognitive and Brain Sciences, Leipzig, Germany
                        Supervisors: Peter Dayan, Christian F. Doeller, and Nicolas Schuck
                        Lab rotations in the orientation phase: Peter Dayan, Christian F. Doeller, and John-Dylan Haynes

2017–2021   Master of Science in Cognitive Science, University of Vienna, Austria

2017–2020   Master of Science in Psychology, University of Vienna, Austria

2014–2017   Bachelor of Science in Psychology, University of Vienna, Austria



Haugg, A., Renz, F. M., [...], Weiskopf, N., Scharnowski, F., & Steyrl, D. (2021). Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis. NeuroImage, 237, 118207. https://doi.org/10.1016/j.neuroimage.2021.118207


Poster presentation

Renz, F.  M., Steyrl, D., Haugg, A., Lor, C., Götzendorfer, S. J., Nicholson, N., Hellrung, L., Papoutsi, M., Marxen, M., MacInnes, J., Adcock, A., Dickerson, K., Chen, N. K., Young, K., Bodurka, J., Shuxia, J., Becker, B., Auer, T., Schweizer, R., Emmert, K., Haller, S., Van De Ville, D., Kim, D. Y., Lee, J. H., Marins, T., Weiskopf, N., Scharnowski, F. (2019, December). Predicting neurofeedback performance [Poster]. “Real-time functional imaging and neurofeedback Conference”, Maastricht, the Netherlands.



Photo: Anja Schneider

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