Chi Chang is a tenure-track assistant professor in the Office of Medical Education Research and Development and the Department of Epidemiology and Biostatistics in the School of Human Medicine at Michigan State University. She earned her PhD in Measurement and Quantitative Methods. She holds master’s degrees in Biostatistics and Educational Administration and Policy, and has a background in teacher education, educational psychology, and counselling. Her research interests center on classification methodologies and cognitive diagnostic assessments. She evaluates the quality of parameter estimation among statistical methods under various conditions using simulation studies. Her psychometric research focuses on diagnosing students’ cognitive skills and exploring methodologies to identify students’ learning patterns, progress performance, clinical knowledge, and clinical skills. Chang’s interests include multilevel modeling, finite mixture modeling, measurement invariance, and meta-analysis. Currently, her research is focused on applying neural network algorithms to optimize classification accuracy. She has projects applying pattern recognition and recurrent neural networks to multi-site program evaluation and medical education.