Huang Wu

Dr. Huang Wu is an Assistant Professor of Educational Leadership in the Department of Educational Leadership, Policy and Foundations. With teaching experience spanning K-12 and higher education settings in both China and the United States, he brings a global perspective that allow him to witness firsthand the challenges students face on their path to better opportunities, and how educational systems can address structural inequalities.

His research is centered on the application of data science methods, ranging from traditional quantitative approaches to machine learning, to address critical educational issues, particularly those related to school leadership, educational equity, and program evaluation. His primary research focus is dedicated to examining how effective school leadership practices can enhance student learning outcomes and foster social justice within educational systems. His work appeared in leading peer-reviewed outlets, including the Educational Research Review, Educational Administration Quarterly, Educational Management Administration & Leadership, among other journals.