Lecture: Bayesian Probit Model with Spatially Varying Coefficients and Its Application to Functional Magnetic Resonance Imaging

Fengqing (Zoe) Zhang is a PhD candidate in the Department of Statistics at Northwestern University. Her general research interests are in neuroimaging data analysis and quantitative research methods including hierarchical models, multivariate analysis, generalized linear models, mixture models and Bayesian modeling. She is particularly passionate about statistical modeling and methodological development for social, behavioral and biomedical related problems. Her dissertation work is on statistical modeling for high dimensional structured data with application to neuroimaging. She collaborates with the Communication Neural Systems Research Group in School of Communication and the Applied Neuromarketing Group at Northwestern University. Some of the working topics include brain decoding, fMRI data analysis, segmentation of MRI images with white matter lesions, imaging mass spectrometry data biomarker selection and classification.

This event is free and open to the Drexel community.