معرفی
Zhuhao Wu serves as Assistant Professor of Neuroscience at the Brain and Mind Research Institute, Weill Cornell Medical College since 2022. His research integrates neurovascular biology, neural circuit mapping, and neurodegenerative mechanisms to understand brain organization and disease processes.
Education:
- Ph.D. in Neuroscience, The Johns Hopkins University School of Medicine (2011)
- B.S. in Biological Sciences, Tsinghua University, China (2003)
Research Focus: Dr. Wu pioneers multi-scale investigations of neurovascular coupling, brain-wide circuit organization, and neurodegenerative pathways. His lab employs whole-brain imaging, single-cell transcriptomics, and genetic engineering in murine models to dissect mechanisms of stroke recovery, tau pathology, and developmental disorders. Current work emphasizes regional blood-brain barrier heterogeneity and axon degeneration pathways with therapeutic implications.
Publication Trends: Recent work (2023-2025) reveals three convergent themes: (1) neurovascular dynamics in health/disease, (2) high-resolution brain atlasing techniques, and (3) molecular mechanisms of neurodegeneration. Publications in Cell, Nature, and Neuron demonstrate methodological innovation in circuit mapping and translational relevance to stroke, Alzheimer's, and autism spectrum disorders.
Grant Portfolio:
- Principal Investigator Subaward: NINDS R01 Investigating Neurobiology of Early Cognitive Impairment (2024-2029)
- Principal Investigator Subaward: NINDS R01 Mechanisms of anosmia in COVID-19 (2023-2028)
- Principal Investigator Subaward: NINDS BRAIN CONNECTS Center for Large-scale Imaging (2023-2028)
- Principal Investigator Subaward: NINDS Global mapping of DDX3X mutation circuits (2023-2028)
- Principal Investigator Subaward: NIAID single-cell encephalitis pathogenesis (2023-2026)
Dr. Wu leads a multidisciplinary team within the Brain and Mind Research Institute focused on developing HOLiS (whole-brain staining/clearing pipeline) and TrailMap for neural circuit analysis. His lab collaborates extensively on NIH BRAIN Initiative projects advancing large-scale connectome mapping.
