I am a Lecturer in the Department of Mathematical Sciences at the University of Bath, UK, and a member of the R Epidemics Consortium (RECON), a group of international experts to create the next generation of analysis tools for disease outbreak response using R. I received my Bachelor's in Mathematics and my Ph.D. in Statistics from the University of Valencia, and my Master's in Biostatistics from Harvard University. Before coming to Bath, I held academic positions at Lancaster University, Queensland University of Technology, London School of Hygiene and Tropical Medicine, and Harvard School of Public Health.
My research focuses on the development of innovative statistical methods and open-source software for health surveillance, and has directly informed strategic policy in reducing disease burden in several countries. Past projects include the development of modeling architectures to understand the spatio-temporal patterns and identify targets for intervention of malaria in Africa, leptospirosis in Brazil, and cancer in Australia.
I have worked on the development of a number of R packages for disease modeling, detection of clusters, and risk assessment of travel-related spread of disease, and I am the author of SpatialEpiApp, a Shiny web application for the analysis of spatial and spatio-temporal disease data.
I have taught biostatistics and spatial statistics courses at both undergraduate and graduate levels at several universities, and I have been invited to deliver training courses on geospatial modeling, disease mapping and R at international workshops. I have published extensively in leading journals, and I am the author of the book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny.