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Dustin Scheinost is an Associate Professor in the Department of Radiology and Biomedical Imaging at Yale University. His research focuses on multi-modal imaging techniques, particularly functional magnetic resonance imaging (fMRI) methods. He leads a laboratory that investigates individualized parcellation and connectivity-based predictive modeling, contributing significantly to the fields of neuroinformatics and data science. His work includes developing methodologies for reproducibility and web-based software solutions. Scheinost's lab overlaps a diverse group of academics and clinicians from various disciplines including physics, psychiatry, neuroscience, and biology. He is engaged in statistical benchmarking and machine learning, aiming to advance the understanding of brain connectivity and function through innovative imaging approaches.
Yale University • New Haven, CT
Associate Professor in the Department of Radiology and Biomedical Imaging, focusing on neuroimaging research.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.