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Roza Gunes Bayrak

Research Assistant Professor of Computer Science

Education:

PhD, Computer Science, Vanderbilt University, 2023
Defense Date: July 12, 2023
Title: Computational Methods to Advance Individual Precision in Brain Mapping

M.S. in Electrical Engineering, Tufts University

B.S. in Electronic and Communication Engineering, Çankaya University, TURKEY

Research interests:

Neuroimaging Dynamics

Computational Models and Methods

Brain-Body Interactions

Multimodal Medical Data Analysis, Big Data
 
For specific projects, please visit: https://rgbayrak.github.io/
VISE Affiliate:

Catie Chang
Assistant Professor of Computer Science, Electrical Engineering, Computer Engineering

LAB:

Neuroimaging & Brain Dynamics Lab (NEURDY Lab)

Bio:

Her research agenda focuses on leveraging the latest advancements in temporal modeling to develop innovative multi-modal models that deepen our understanding of brain dynamics. A key aspect of her vision is to develop accessible software, designed to enable clinicians to utilize large-scale brain dynamics models effectively when working with small datasets.