Michelle Y. Wang

Michelle Y. Wang is an Associate Professor holding joint appointments in Statistics, Psychology, and Bioengineering at the University of Illinois at Urbana-Champaign. She specializes in quantitative/mathematical methods, machine learning, cognitive psychology, and precision medicine. Her research bridges statistical theory with applications in neuroimaging and healthcare analytics.

Education: Ph.D. in Statistics from Yale University. She teaches advanced courses including Covariance Structure Models, Neuroimage Analysis, and Applied Regression. Current affiliations include the Departments of Statistics, Psychology, and Bioengineering.

Research focuses on signal/image processing, computational neuroscience, and applying machine learning to biomedical data. Recent work emphasizes outlier detection algorithms and predictive modeling in neuroimaging. No awards explicitly listed, though her publications reflect impactful contributions to interdisciplinary fields.

Advising and grants: No specific advisees or grants mentioned. Her work likely involves collaborations with medical and engineering teams given her interdisciplinary roles.

Labs/Teams: Engaged in neuroimaging analysis projects and precision medicine initiatives, though specific lab names not provided. Active in cross-disciplinary research groups spanning statistics and cognitive sciences.