Spatial epidemiology

Xiang Chen

Ph.D. Student, Statistics

spatio-temporal modeling infectious disease geospatial statistics Spatial epidemiology Public Health Time Series Analysis deep learning explainable AI

Xiang Chen's research focuses on spatio-temporal modeling of climate-sensitive infectious diseases, integrating large-scale health, climate, and human mobility data to improve epidemiological forecasting and support public health decision-making.

Paula Moraga

Assistant Professor, Statistics

Spatial and spatio-temporal statistics geospatial modeling Spatial epidemiology Bayesian disease mapping point processes Public health surveillance

Dr. Moraga develops innovative statistical methods and computational tools for geospatial data analysis and health surveillance. The impact of her work has directly informed strategic policy in reducing the burden of diseases such as malaria and cancer in several countries.

Fernando Rodriguez Avellaneda

Ph.D. Student, Statistics

spatio-temporal modeling environmental research Spatial epidemiology Python (Programming Language) data science

Fernando Rodriguez Avellaneda's research focuses on Bayesian spatial and spatio-temporal modeling, with applications in environmental and epidemiological studies.