Atlas Kazemian

I’m a first-year PhD student at Stanford University co-advised by Dr. Laura Gwilliams and Dr. Dan Yamins. I’m broadly interested in questions at the intersection of neuroscience and computer science, particularly how the brain transforms continuous sensory input into higher-level discrete symbols and how these principles can inspire the development of more powerful AI models.

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.