Kayo Fujimoto

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About

Kayo Fujimoto, PhD’s research specializes in the development and application of social network methodologies and graph-based deep learning methods to various areas of population health research from a multidisciplinary perspective. Her research topics include cancer prevention, molecular epidemiology, community organizational networks, healthcare delivery systems, and HIV/STIs prevention. This research focuses on social contexts/structures by modeling the impact of social networks among people and organizations to investigate these influences on people’s health behaviors, diffusion of health information, and actual disease transmission. Fujimoto's current research interests are in undertaking population health research with an eye towards turning network research into deliverables based on Artificial Intelligence in order to enhance the delivery of personalized interventions, and in building an innovative technological infrastructure to facilitate coordination among health service agencies within a local health care delivery system.

Center Affiliation

• Center for Health Promotion and Prevention Research

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Research Interests

• Adolescent Health
• Aging / Gerontology
• Artificial Intelligence
• Biostatistics and Data Science
• Brain and Behavioral Health
• Cancer
• Community Health
• Dementia and Alzheimer’s Disease
• Epidemiology
• Health Services / Outcomes Research
• Implementation Science
• Infectious Disease
• Population Health
• Social Determinants of Health
• Substance Use