Peer Mentoring Projekt R Group (R)

Goals of the Peer Mentoring Group

Our overriding goal is to enhance our career development by expanding our statistics knowledge and experience. We aim to continue to learn to conduct advanced data analyses with R. The main focus points are longitudinal analyses, multi-level analyses and structural equation modeling. 

Past workshops in 2019-2020

Workshop: Bayesian multilevel analysis with R package “brms”

Speaker: Dr. Paul-Christian Bürkner (Universität Münster)

The event was co-organized with the Department of Economics, University of Zurich. 


Workshop: Structural equation modeling with R package "lavaan" 

Speaker: Prof. Dr. Yves Rosseel (Ghent University)


Workshop: Next generation tools for cross-lagged panel models 

Speaker: Dr. Marcus Mund (Friedrich-Schiller-Universität Jena)


Workshop: Programming in the R package "tidyverse"

Speaker: Dr. Kirill Müller ("Zurich R Courses")

The event was co-organized with the “Zurich R Courses”. 


Workshop: Good practices in working with R Studio

Speaker: Dr. Dries Debeer (University of Zurich)


Past career talks 2019-2020

Dr. Michaela Knecht: Lecturer and researcher at the Hochschule für Angewandte Psychologie (FHNW). 

Dr. Sabrina Guye: Real-world data scientist at Roche. 

Dr. Irene Meier: Product and innovation manager at Altoida, Inc. 

Dr. Susanne Tönsmann: Managing director of the Participatory Science Academy at the University of Zürich



Dr. Minxia Luo (Gerontopsychology, Department of Psychology) 

Dr. Brian Cardini (Developmental Psychology: Adulthood, Department of Psychology) 

Laura Bechtiger (Jacobs Center for Productive Youth Development) 

Group members

We are a peer mentoring group consisting of PhD students, Postdocs, and senior researchers from multiple faculties of the UZH (mainly from the department of psychology, but also the department of economy and geography). 

Advisory Board

Prof. Dr Klaus Oberauer

Prof. Dr. Carolin Strobl

New members are welcome!

To register, please contact the organizers.