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Catie Chang

Assistant Professor of Computer Science, Electrical Engineering, Computer Engineering

Degrees:

Ph.D., Electrical Engineering, Stanford University
M.S., Electrical Engineering, Stanford University
S.B., Electrical Engineering and Computer Science, MIT

Research interests:

Techniques for analyzing and interpreting functional neuroimaging data (fMRI, EEG/electrophysiology) to extract new information about brain activity in health and disease.

Projects:

Multi-modal imaging of dynamic brain states; time-resolved analysis of functional networks; neural and physiological basis of fMRI signals/networks; methods for improving the quality of fMRI data.

Areas of Research: Biomedical Imaging, Image Processing