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Dr. Gabriel Carrasco-Escobar is a Peruvian data scientist and epidemiologist focused on infectious disease modeling, geospatial analytics, and digital health solutions in low- and middle-income countries. His interdisciplinary research explores the integration of artificial intelligence, climate data, and health equity to address endemic and emerging health threats across Latin America and the Global South.
Dr. Gabriel Carrasco-Escobar
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In the AI4PEP network, Dr. Carrasco-Escobar leads efforts to harness AI for spatial health modeling, digital epidemiology, and adaptive decision-support tools for health policy and pandemic preparedness.
Mapping disease risk and access to care using geostatistics, remote sensing, and spatial analytics to inform interventions.
Developing AI-powered early warning systems and real-time prediction models for vector-borne and respiratory diseases.
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