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Eva Dyer
Eva Dyer
Assistant Professor
UAW 3108
Research Interests:

Dyer’s research interests lie at the intersection of machine learning, optimization, and neuroscience. Her lab develops computational methods for discovering principles that govern the organization and structure of the brain, as well as methods for integrating multi-modal datasets to reveal the link between neural structure and function.








Latest Articles:

Eva Dyer at the forefront of surge in computational neuroscience research at Georgia Tech



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