Dr. Diego F. Cuadros
Advancing Health Through Innovative Data Analytics
Dr. Diego F. Cuadros, an Associate Professor at the University of Cincinnati, specializes in digital epidemiology and disease modeling. He leverages cutting-edge data analytics, geographic information systems (GIS), and complex-systems modeling to address pressing challenges in public health and epidemiology. Director of the Digital Epidemiology Lab, his work bridges academic rigor with real-world impact, driving innovation in health outcomes through data-driven insights.
Expertise Snapshot
Key areas where data science meets public health innovation.
Disease Modeling
Mathematical and computational models to simulate epidemic trajectories and predict outcomes under different scenarios.
Spatial Epidemiology
Integrating GIS to map disease incidence, identify hotspots, and uncover environmental/social determinants of health.
Digital Epidemiology
Leveraging large datasets, computational tools, and data visualization for contemporary health challenges like HIV & COVID-19.
Data Science in Health
Applying spatial statistics, machine learning, and high-performance computing to complex health data.
Interested in collaboration or consulting?
Let's talk about how we can leverage data to solve complex health challenges together.
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