Dr. Michelle Greene, is an Assistant Professor in the Psychology Department at Barnard College. Her research integrates machine learning, experimental psychology, and cognitive neuroscience to understand the processes enabling rapid visual perception. Greene earned her Ph.D. in Cognitive Science from MIT in 2009, followed by postdoctoral training at Harvard Medical School and Stanford University. 

Gillian Rosenberg (Princeton '25) is the Lab Manager for the Visual Cognition Lab. She brings a computational background to cognition research in vision and language. Prior to working for the BVCL, she conducted linguistics research at the Leibniz Center for General Linguistics in Berlin. She has also worked on projects related to AI policy.

Sundari Ruth (Barnard ’26) studies Psychology. She joined the Visual Cognition Lab summer of 2025. Her research in the lab focuses on object information detection and utilizes EEG. In her free time, she enjoys sailing, reading, and volunteering as an adult leader for her local scout organization.

Vivian Gao, (Barnard College Class of '27, Cognitive Science and Economics) joined the Visual Cognition Lab after her freshman year. She researches semantic complexity’s effects on ERPs, designs experiments in PsychoPy, conducts EEG studies, and analyzes data. She also edits chapters, creates graphics, and designs practice questions for the lab’s textbook. Outside academia, she enjoys cooking, jiu-jitsu, and dancing, a passion of 15 years.

Amy Nguyen, (Barnard College '26, Psychology and Computer Science) has been a Research Assistant in the Barnard Visual Cognition Lab since summer 2024. She studies event-related potentials (ERPs) and visual complexity, designing experiments in PsychoPy, coding in Python, and analyzing EEG data. She also contributes to the lab’s open-source textbook. Outside the lab, she enjoys running and works at SUMMIT One Vanderbilt.

Hooriya Aamir (Barnard College '27, Neuroscience and Psychology) researches visual complexity’s impact on rapid scene detection. Her work aims to develop a method for measuring visual complexity and its effects on brain processing. Hooriya aspires to become a Physician Assistant. 

Skylar Stadhard (Barnard College '27,  Neuroscience & Applied Mathematics) has been a member of the Visual Cognition Lab since the summer of June 2024. Her research in the lab focuses on scene recognition and utilizes applications like Matlab, Python, PsychoPy, and EEG. Skylar is interested in combining disciplines like neuroscience with computer science and math. In her spare time, Skylar enjoys reading and exploring NYC.  

Maria Adkins (Barnard College '27, Neuroscience and Behavior) researches semantic complexity and rapid scene detection. She is expanding her work to study real vs. internet image processing using EEG decoding. Outside the lab, she volunteers with Alzheimer’s patients through Columbia’s Brain Exercise Initiative and enjoys coding.