My research primarily focuses on effect sizes and their implications for psychological science. Specifically, I study the computation and interpretation of critical effect sizes and the overlapping index, a quantitative measure of the overlap between two or more probability density distributions. These concepts are central to understanding the magnitude and meaning of effects in behavioral and cognitive research, and to improving the transparency and reproducibility of empirical findings.

Beyond my doctoral project, I am deeply interested in meta-research—the study of research practices themselves. This includes topics such as design analysis, statistical power, publication bias, and multi-lab collaborations aimed at assessing the robustness of psychological phenomena. My work is largely computational and analytical, involving simulation studies, statistical modeling, and methodological evaluation, often using R and open-source tools.

I am committed to advancing open and rigorous science, with a strong interest in how methodological improvements can enhance the cumulative knowledge base of psychology. My broader scientific goal is to contribute to a more rigorous and principled understanding of psychological effects, bridging theory and measurement through methodological innovation and critical evaluation of current research practices.

Supervisor: Prof. Massimiliano Pastore