Yi Feng

Yi Feng is an Assistant Professor in Quantitative Psychology at the University of California, Los Angeles (UCLA). With expertise in advanced statistical methodologies, Feng contributes to both theoretical and applied research in psychology and education, focusing on structural equation modeling (SEM), latent growth models, and causal graphical frameworks. They teach graduate-level SEM courses (Psych M257) and undergraduate statistics (Psych 100A).

• Research Focus: Causal inference, variability modeling, and power analysis with interdisciplinary applications in education, developmental psychology, and healthcare.
• Key Collaborations: Regularly works with researchers like Gregory R. Hancock and Jeffrey R. Harring on methodological innovations.

Feng’s methodological work appears in high-impact journals such as Psychological Methods (Impact Factor: 14.738) and JAMA Internal Medicine (Impact Factor: 44.41). Their applied research spans topics like socioeconomic disparities in science achievement, cognitive trajectories post-surgery, and mental health service delivery. Feng also explores synthetic data applications for longitudinal educational research.