Juan Zhou

ACADEMIC QUALIFICATIONS

• 2008-2010 Postdoctoral fellowship, Memory and Aging Centre, Department of Neurology, University of California, San Francisco, CA, USA
• 2004-2007 Ph.D., School of Computer Science and Engineering, Nanyang Technological University, Singapore
• 2000-2003 B. Eng, Accelerate Bachelor Programme (3.5 years), 1st Class Honours, School of Computer Science and Engineering, Nanyang Technological University, Singapore

Companies

• Associate Professor NUS Yong Loo Lin School of Medicine (2020)
• Associate Professor National University of Singapore (2019)
• Associate Professor Duke-NUS Medical School (2019)
• Assistant Professor Duke-NUS Medical School (2011 — 2018)
• Principal Investigator A*STAR - Agency for Science, Technology and Research (2011 — 2013)
• Associate Research Scientist NYU Langone Medical Center (2011 — 2011)
• Post-doctoral Fellowship UCSF (2008 — 2010)
• Research Fellow Singapore-MIT Alliance for Research & Technology (2007 — 2008)

RESEARCH AREAS

• Neuroscience : Cerebrovascular Disease, Cognitive Neuroscience, Mental Health Disorders and Therapeutics, Neurodegenerative Diseases, Others: Brain Imaging
• Healthy Longevity : Neurodegeneration & Neurological Disorders, Vascular Cognitive Impairment
• Human Potential : Metabolic & Brain Health

RESEARCH INTEREST(S)

• Brain MR Imaging
• Machine learning
• Ageing-related disorders
• Neurodevelopmental disorders

SELECTED PUBLICATIONS

• Chong JSX, Liu SW, Loke YM, Hilal S, Ikram MK, Yu X, Tan BY, Venketasubramanian N, Chen CLH, Zhou J. Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer’s disease. Brain 2017; 140(11):3012-22.
• Ng KK, Lo JC, Lim JKW, Chee MWL, Zhou J. Reduced functional segregation between the default mode network and the executive control network in healthy older adults: A longitudinal study. NeuroImage 2016; 133:321-330.
• Wang CH, Lee J, Ho NF, Lim KWJ, Poh JS, Rekhi G, Krishnan R, Keefe RSE, Adcock RA, Wood SJ, Fornito A, Chee MWL, Zhou J. Large-scale network topology reveals heterogeneity in individuals with at risk mental state for psychosis: findings from the longitudinal youth-at-risk study. Cereb Cortex 2017; 1-10.
• Chong JSX, Jang H, Kim HJ, Ng KK, Na DL, Lee JH, Seo SW, Zhou J. Amyloid and cerebrovascular burden divergently influence brain functional network changes over time. Neurology 2019; 93:1-12.
• Zhou J, Gennatas ED, Kramer JH, Miller BL, Seeley WW. Predicting Regional Neurodegeneration from the Healthy Brain Functional Connectome. Neuron 2012; 73(6):1216-27. (COVER ARTICLE, IF: 14.027) doi: 10.1073/pnas.1523980113.