Summary
Michèle Nuijten is an Assistant Professor and Board member with 13 years of experience specializing in meta-science, reproducibility, and statistical methodology in psychology. She develops pragmatic, evidence-based tools and practices—co‑creating the automated statcheck tool—to detect inconsistencies and improve the robustness of published findings. Her work spans advanced statistical analysis, systematic data collection, programming, and teaching, where she trains students to be thoughtful skeptics rather than cynics. Based in North Brabant, Netherlands, she combines rigorous PhD‑level methodology with hands‑on software development to tackle publication bias, replication failures, and questionable research practices. A less obvious strength is her sustained focus on translating methodological insights into usable, scalable tools that directly change research workflows.
13 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Methodology & Statistics, Doctor of Philosophy - PhD, Methodology & Statistics at Tilburg University
Master of Science (MSc), Psychological Research Methods, cum laude, Master of Science (MSc), Psychological Research Methods, cum laude at Universiteit van Amsterdam