For my up-to-date resumé, see: https://cjvanlissa.github.io/resume/

My research revolves around three themes: The “theory crisis” in social sciences, cumulative knowledge acquisition, and reliability of research findings. My primary veni-funded research line uses machine learning for rigorous exploration, and uses the resulting data-driven insights to complement blind spots in theory. My secondary research line focuses on evidence synthesis: Summarizing existing knowledge, e.g. through systematic reviews and meta-analysis. Specifically, I develop machine learning methods to account for heterogeneity in meta-analysis and to qualitatively summarize published literature. My third research line revolves around open science, in particular computational reproducibility. As statistical co-author, I support research in many societally relevant areas.