Atlas Kazemian

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Hi!

I’m a first-year PhD student at Stanford University. I’m interested in how humans transform sensory information into higher-level concepts and meaning, and in developing AI that emulates this ability more efficiently. Currently, I’m working with my advisors, Dr. Laura Gwilliams and Dr. Dan Yamins, on brain-inspired models of speech and language.

Prior to this, I completed my Masters in Cognitive Science at Johns Hopkins University, where I worked with Dr. Michael Bonner on understanding the representations and algorithms of primate visual cortex by studying the properties of high dimensional untrained vision models.

I received my bachelor’s degree in Integrated Engineering from the University of British Columbia.

news

[Apr 2024]     I am honored to be named a Stanford School of Humanities and Sciences Dean’s Scholar!
[Apr 2024]     I’m honored to have been awarded the Stanford EDGE Fellowship in support of my graduate studies and research!
[Apr 2024]     I will be starting my PhD in the Fall at Stanford University co-advised by Laura Gwilliams and Dan Yamins.
[Aug 2023]     Our lab will be leading a tutorial session on a high dimensional view of computational neuroscience at CCN 2023. Check out our tutorial website!
[Aug 2023]     I will be presenting my research on learning-free high dimensional models of visual cortex as a poster presentation at CCN 2023.