Cuiling Wang

Cuiling Wang, Ph.D. is a Professor in the Department of Epidemiology & Population Health at Albert Einstein College of Medicine. She is a prominent researcher in the field of aging and cognitive disorders, with a particular focus on Alzheimer's disease, mild cognitive impairment, and dementia risk prediction. Her work primarily utilizes data from the Einstein Aging Study (EAS), a long-term population-based study of aging in diverse older adults.

Dr. Wang's research interests center on the epidemiology of cognitive aging, with emphasis on:

• Early detection of Alzheimer's disease and related dementias
• Development and validation of cognitive screening tools
• Analysis of biomarkers for neurodegenerative diseases
• Health disparities in cognitive aging
• Statistical methods for longitudinal cognitive data
• Digital phenotyping of cognitive decline

Her recent publications demonstrate a strong trend toward integrating novel methodologies including computational phenotyping, smartphone-based assessments, and multimodal biomarker approaches to improve early detection of cognitive decline. She has been particularly focused on developing tools that work effectively across diverse populations, addressing health disparities in dementia diagnosis and care.

Dr. Wang has secured significant funding from the National Institute on Aging, serving as Principal Investigator on multiple research projects. Her current grants include:

• Correction of Bias in Estimating Risk of AD and Cognitive and Mobile Decline Using Auxiliary Information
• Statistical Core/Data Management
• Detecting early disease using variability in markers under informative censoring

Her work has resulted in 129 publications with over 8,250 citations and an h-index of 46, demonstrating substantial impact in the field of cognitive aging research. She actively collaborates with a multidisciplinary team of clinicians, statisticians, and neuroscientists to advance understanding of cognitive decline in aging populations.