Zhe Sage Chen.

Zhe Sage Chen

Associate professor of psychiatry, and of neuroscience and physiology
New York University School of Medicine

Zhe Sage Chen is associate professor of psychiatry, and of neuroscience and physiology, at New York University School of Medicine. He is also a faculty member in the biomedical engineering department at NYU Tandon School of Engineering. He is founding director of the Computational Neuroscience, Neuroengineering and Neuropsychiatry Laboratory and program director of the Computational Psychiatry program at NYU. He works in a wide range of areas in computational neuroscience, neural engineering, machine learning and brain-machine interfaces, studying fundamental research questions related to memory and learning, nociception and pain, and cognitive control. He has authored a book and edited three others, his latest book, “Memory and Sleep: A Computational Understanding,” is slated to be published in late 2025.

Chen earned his Ph.D. in electrical and computer engineering from McMaster University and completed his postdoctoral training at RIKEN Brain Science Institute, Harvard Medical School and the Massachusetts Institute of Technology.

Explore more from The Transmitter

Research image of variants of the ATPase subunit PSMC5/RPT6.

Insights on suicidality and autism; and more

Here is a roundup of autism-related news and research spotted around the web for the week of 8 December.

By Jill Adams
9 December 2025 | 2 min read
A stack of papers topped by many paper shreddings against a red background.

Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset

The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.

By Calli McMurray
8 December 2025 | 5 min read
Research image of a virtual environment simulating an animal’s viewpoint close to the ground.

Seeing the world as animals do: How to leverage generative AI for ecological neuroscience

Generative artificial intelligence will offer a new way to see, simulate and hypothesize about how animals experience their worlds. In doing so, it could help bridge the long-standing gap between neural function and behavior.

By Shahab Bakhtiari
8 December 2025 | 8 min read

privacy consent banner

Privacy Preference

We use cookies to provide you with the best online experience. By clicking “Accept All,” you help us understand how our site is used and enhance its performance. You can change your choice at any time. To learn more, please visit our Privacy Policy.