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 in order to address the social determinants of health. Her research topics include HIV/AIDS & STIs, sexual minority men populations, molecular epidemiology, community organizational networks, and healthcare delivery systems. 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 group norms, and actual disease transmission, all of which will inform the design, development, and implementation of network-based prevention programs/interventions among individuals and organizations. 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.

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Center Affiliation

Center for Health Promotion and Prevention Research

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Research Interests

• Adolescent Health
• Big Data/Data Science
• Biostatistics
• Epidemiology
• Health Education/Behavioral Sciences
• Health Equity
• Infectious Disease
• Social Determinants of Health
• Substance Use