Zhe Sage Chen is an associate professor and principal investigator at New York University (NYU) School of Medicine, with joint appointment at the Department of Psychiatry and Department of Neuroscience and Physiology, and an affiliated faculty at the Department of Biomedical Engineering at NYU Tandon School of Engineering. He is the director of the CN3 (Computational Neuroscience, Neuroengineering and Neuropsychiatry) Laboratory at NYU, and director of the Computational Psychiatry programme at NYU. Previously, he worked at MIT, Harvard Medical School, and RIKEN Brain Science Institute.

The CN3 laboratory directed by Chen studies various fundamental research questions related to sleep and memory, motor coding, nociception and pain, cognitive control, and computational psychiatry. The research areas cover a wide range of topics in computational neuroscience, neural engineering, machine learning, and brain-machine interfaces. His research work was well funded by the US National Science Foundation and National Institutes of Health, and has appeared in high-impact journals such as Nature Biomedical Engineering, Science Translational Medicine, Nature Reviews Neuroscience, Cell, Neuron and Cell Reports. He is the lead author of the book Correlative Learning (Wiley, 2007) and the editor of books Advanced State Space Methods for Neural and Clinical Data (Cambridge University Press, 2015) and Dynamic Neuroscience: Statistics, Modeling, and Control (Springer, 2018). He has served as the editorial board and associate editor for Neural Networks, Journal of Neural Engineering, and Frontiers in Computational Neuroscience.