New data in public health
Novel data sources offer opportunity for high-granularity public health. In this work we have studied many types of data and their relevance in time and space.
Public Health Best Practices
NSF CAREER: Learning from When, Where and by Whom Data is Generated for Advancing Public Health Studies (2019-2024)
This award is focused on developing new machine learning and data science approaches motivated by the need to improve data management and analysis in the public health domain. The project will also provide educational programs informed by best practices in research for public health practitioners, students, and community members in the context of data science and public health.
Social Determinants and Risk Prediction
Social determinants play an important role in shaping noncommunicable disease. We are examining the role of social determinants in clinical risk prediction as well as appropriate modeling strategies for their integration.
