Michelle Yongmei Wang

Michelle Yongmei Wang serves as Associate Professor at the University of Illinois at Urbana-Champaign, holding joint appointments in the Department of Psychology (College of Liberal Arts & Sciences), Statistics, and Bioengineering. She maintains active research affiliations with the Beckman Institute and Center for Global Studies.

Her research spans quantitative psychology with emphasis on statistical methods, machine learning, and neuroimaging analysis. Primary interests include covariance structure modeling, signal processing, precision medicine applications, and cognitive psychology frameworks. Her work integrates advanced mathematical techniques with psychological and biomedical data to develop robust analytical tools for brain imaging and behavioral research.

Dr. Wang's publication history reveals consistent focus on methodological innovation in neuroimaging and statistical modeling, particularly in dynamic functional connectivity, outlier detection, and predictive modeling using fMRI data. Her research demonstrates strong interdisciplinary connections between psychology, engineering, and data science.

She teaches advanced courses including Covariance Structure and Factor Models, Methods of Applied Statistics, Image and Neuroimage Analysis, and Signals and Systems, reflecting her technical expertise in quantitative methods.