My research focuses on using data-driven approaches and modeling techniques to predict the geographic distribution of mosquito-borne diseases. Currently my work revolves around two main areas:

1. Building, maintaining and updating a global dengue incidence database (opendengue.org)

2. Generating global risk maps for dengue, zika, chikungunya and yellow fever, by fitting a machine learning model to global disease occurrence data and leveraging similarities among them

As a member of the Dengue Mapping and Modelling Group at LSHTM, led by Dr Oliver Brady, I actively collaborate with modellers, epidemiologists and public health experts, including the WHO Global Arbovirus Initiative.