I am an assistant professor at the department of Methodology and Statistics and member of the Meta-Research Center. I am also a BITSS Catalyst advocating research transparency.
My research focuses on developing statistical methods for conducting meta-analyses. Many methods that I worked on are methods to correct for publication bias in a meta-analysis. I also worked on meta-analysis methods to combine a published original study and replication. Moreover, I regularly participate in large-scale collaborative projects like the Reproducibility Project: Psychology and Many Labs 2. Other interests of mine are R programming and sports analytics.
I received a NWO Veni grant in 2022 for the research project: "Empowering meta-analysis by taking advantage of preregistered and replication studies".
Please see my personal website for more information: http://www.robbievanaert.com/
My expertise is on meta-analysis methods.