Hao Wu

A lifelong learner contributing to the advancement of psychological and educational research, Hao Wu serves as an Associate Professor of Psychology and Human Development at Vanderbilt University. With a keen interest in the intricacies of statistical models, his work primarily revolves around the evaluation and enhancement of these models within the realms of psychology and education. Hao Wu's expertise in structural equation modeling is complemented by his focus on identifiability and the quantification of uncertainty, ensuring that his research contributes to more accurate and reliable outcomes in these fields. Hao Wu's research portfolio is diverse, encompassing robust and nonparametric methods that provide alternative approaches to traditional statistical techniques. His work on effect size and model fit further underscores his commitment to refining the tools used by researchers to interpret complex data. By addressing hypothesis tests in nonstandard situations, he offers innovative solutions that broaden the scope of statistical analysis. In addition to his theoretical contributions, Hao Wu actively collaborates with fellow researchers on applied projects, bridging the gap between theory and practice. His collaborative efforts not only enhance the practical application of statistical models but also foster interdisciplinary partnerships that enrich the research community. Through his dedication to both teaching and research, Hao Wu continues to inspire the next generation of scholars while advancing the field of psychology and education.