Fabian M. Renz

Doctoral Candidate (deputy cohort representative)

Fabian.M.Renz@maxplanckschools.de

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

Publication

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