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Yuan LUO

Yuan Luo
Title: Program Director
Office(s): Division of Neuroscience (DN)
Phone Number: 301-496-9350
Email Address:


Dr. Yuan Luo is a Program Director of the Clinical Interventions and Diagnostics branch in the Division of Neuroscience at NIA. She oversees the Division’s technology portfolio, such as using technology for early detection, monitoring and interventions for aging brain, MCI, AD, and other dementias.  Dr. Luo also oversees some of the Branch's career development and Fellowship programs, and initiatives on plasma biomarkers. 

Before coming to NIA, Dr. Luo was a Scientific Review Officer at the Center for Scientific Review managing the Emerging Technology and Training in Neuroscience study sections, including the Drug Discovery for Aging, Neuropsychiatric and Neurologic Disorders study section. She also served as a member of multiple trans-NIH committees.

Dr. Luo received her BS and MS in Biochemistry & Toxicology from Peking University in China. After a one-year UNESCO-sponsored training in Hungary Academy of Sciences, she obtained Ph.D. in Neuroscience from SUNY Upstate Medical University in 1994. She then accepted two postdoctoral fellowships at Massachusetts Institute of Technology and Harvard Medical School. Prior to joining NIH in 2010, Dr. Luo spent more than 10 years as a NIH-funded principal investigator and an Associate Professor at The University of Southern Mississippi, and the University of Maryland School of Pharmacy. Her laboratory research interest was on neuroprotection in relation to aging and Alzheimer’s disease using animal models and human study. She supervised more than a dozen Ph.D. students and postdoctoral fellows and author/co-authored over 50 research articles and book chapters.

Research Interests/Portfolio

  • Fellowship and Training (pre-doctoral, postdoctoral, and junior faculty career development) to conduct AD/ADRD research
  • Plasma biomarkers for MCI, AD and other dementias of aging
  • Technology for MCI, AD and other dementias of aging- use of neurotechnological devices, mobile sensors and apps to capture data on individuals’ physical and cognitive functions

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