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PhD Student

Atlas Kazemian

Atlas Kazemian is a graduate student co-advised by Dr. Laura Gwilliams and Dr. Daniel Yamins. She is broadly interested in the computational mechanisms that enable us to transform sensory information into meaning, and currently uses deep learning models to study this in speech and language.Atlas completed her Masters in Cognitive Science at Johns Hopkins University, where she worked with Dr. Michael Bonner to uncover the representations and algorithms of primate visual cortex by studying the properties of high dimensional untrained vision models. Prior to that, she received her bachelor’s degree in Integrated Engineering from the University of British Columbia.