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I am broadly interested in spatially-enabled computational epidemiology of vector-borne and infectious diseases and applications of geospatial approaches for enhancing animal/public health. I extensively use Geographic Information System (GIS) and remote-sensing concepts in my research alongside geo-statistical, correlative modeling, and Bayesian approaches for understanding spatio-temporal dynamics of non-stationary epidemiological processes. Our current and prior research has identified important spatio-temporal patterns and spatial determinants for vector/water-borne zoonotic diseases from climatic, environmental, and socio-economic themes. Increasingly, my research strives to identify consistencies in complex meteorological variable associations with vector-borne diseases through the utilization of high-resolution ground-based and NASA Earth Observing System (EOS) datasets.