Atlas Kazemian

I’m a PhD student at Stanford University co-advised by Dr. Laura Gwilliams and Dr. Dan Yamins. My research focuses on building AI models that draw inspiration from how humans perceive, transform, and integrate visual and auditory data into meaningful representations.

Prior to this, I completed my Masters in Cognitive Science at Johns Hopkins University, where I worked with Dr. Michael Bonner and developed high dimensional random convolutional neural networks to study primate visual representations and algorithms. Before that, I received my bachelor’s degree in Integrated Engineering from the University of British Columbia.

Alongside my academic training, I have held roles as a computer vision engineer and data scientist in both startups and research labs, developing end-to-end pipelines for robotics, eye-tracking, and naturalistic data analysis.

Here is my CV.