News Release

Two NYU Faculty Elected to National Academy of Sciences

Andrea H. Brand and Eero P. Simoncelli among this year’s 120 new members

Grant and Award Announcement

New York University

NYU's 2026 National Academy of Sciences Selections

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Andrea H. Brand, left a professor at NYU Grossman School of Medicine, and Eero P. Simoncelli, right, a professor in NYU Arts and Science, were elected to the National Academy of Sciences this year.

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Credit: Images courtesy of New York University and NYU Grossman School of Medicine

Two New York University faculty have been elected to the National Academy of Sciences: Andrea H. Brand, a professor of cell biology and neuroscience at NYU Grossman School of Medicine, and Eero P. Simoncelli, a professor of neural science, mathematics, data science, and psychology. This year’s election of 120 new members and 25 international members were chosen “in recognition of their distinguished and continuing achievements in original research,” the organization announced this week. 

A complete list of 2026 elected members may be found on the National Academy of Sciences’ website.

Andrea H. Brand, Frederick L. Ehrman Professor of Cell Biology and chair of the Department of Cell Biology at NYU Grossman School of Medicine, studies nervous system development, identifying the genes that direct the specific behaviors of particular neurological cells—neurons and glia—that are produced by neural stem cells. Brand, also a professor in the school’s Department of Neuroscience, studies the genes that regulate the transition from a neural stem cell to a specialized neuronal or glial cell type—research with the long-term aim of repairing or regenerating the nervous system after injury or disease. 

Eero P. Simoncelli, a Silver Professor at NYU’s Center for Neural Science, studies the representation of sensory information in brains and machines. The inaugural director of the Simons Foundation Center for Computational Neuroscience, Simoncelli considers how neurons encode visual information, how that encoded information enables and limits perceptual capabilities, and how the principles underlying these representations can be used to create better human-made systems for processing and representing our visual world. 

Additional information about the academy and its members is available on its website

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