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Seyda is a graduate student in the Neuroscience Department at Albert Einstein College of Medicine, studying predictive processing and perception in autism. She is investigating how individuals with autism make predictions and update these predictions according to new information in changing environments, using electrophysiological recordings (EEG), pupillometry, computational modeling, and binocular rivalry. Seyda received a B.S. in Molecular Biology and Genetics from Bogazici University, Istanbul, Turkey, and an M.S. in Neurobiology and Behavior from Georgia State University, Atlanta, Georgia. In her spare time, she enjoys spending time with friends, listening audiobooks, kayaking, and imagining the future of science-fiction.

Research interests: Autism Spectrum Disorders, Predictive Processing, Perception, Bayesian Learning, Event Related Potentials, Pupillometry, Binocular Rivalry 

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