AI for Community and Population Health

 

We apply AI to tackle pressing public health challenges, such as predicting disease outbreaks, identifying health disparities, and optimizing resource allocation. By leveraging large-scale population data, we aim to create models that inform public health policies and interventions. Our research is focused on how AI can be utilized to enhance community health, inform decision-makers, and ultimately improve health outcomes at the population level. 

Faculty Investigators

  • Ying Wei, PhD

    • Professor of Biostatistics
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  • Yuan Zhang, PhD

    • Assistant Professor of Sociomedical Sciences (in the Robert N. Butler Columbia Aging Center)
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